sentiment.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "sentiment.ipynb",
      "version": "0.3.2",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "crRUn59PKrUs",
        "colab_type": "text"
      },
      "source": [
        "#### For google colabs only "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Fgf0TYmlTqw2",
        "outputId": "fa299df0-074b-4cb6-a05d-410a4ce9db0c",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/files.js": {
              "data": 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              "headers": [
                [
                  "content-type",
                  "application/javascript"
                ]
              ],
              "ok": true,
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 74
        }
      },
      "source": [
        "from google.colab import files\n",
        "files.upload()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "     <input type=\"file\" id=\"files-8c520bd7-d8b8-48b6-bbc9-ddfc41b778f0\" name=\"files[]\" multiple disabled />\n",
              "     <output id=\"result-8c520bd7-d8b8-48b6-bbc9-ddfc41b778f0\">\n",
              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script src=\"/nbextensions/google.colab/files.js\"></script> "
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "stream",
          "text": [
            "Saving employee_reviews.csv to employee_reviews.csv\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "0awZhouRXzgf",
        "outputId": "90997b5a-ba9c-4d24-c6f3-3576f03da3e6",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "!git clone https://github.com/sushil79g/customer_review.git"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "fatal: destination path 'customer_review' already exists and is not an empty directory.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y-7CpQXhKrVB",
        "colab_type": "text"
      },
      "source": [
        "**Import libraries**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "DS4MLLT3Txg_",
        "colab": {}
      },
      "source": [
        "#numpy for mathmatical computation\n",
        "import numpy as np\n",
        "#pandas for dataframe computation i.e overall sql processing\n",
        "import pandas as pd\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "yj8mCLtBV2fL",
        "outputId": "3662c96c-cd81-4260-f7c7-99ea47396095",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 485
        }
      },
      "source": [
        "#importing file with pandas\n",
        "file = pd.read_csv('customer_review/employee_reviews.csv')\n",
        "#lets look @dataset\n",
        "file.head(3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Unnamed: 0</th>\n",
              "      <th>company</th>\n",
              "      <th>location</th>\n",
              "      <th>dates</th>\n",
              "      <th>job-title</th>\n",
              "      <th>summary</th>\n",
              "      <th>pros</th>\n",
              "      <th>cons</th>\n",
              "      <th>advice-to-mgmt</th>\n",
              "      <th>overall-ratings</th>\n",
              "      <th>work-balance-stars</th>\n",
              "      <th>culture-values-stars</th>\n",
              "      <th>carrer-opportunities-stars</th>\n",
              "      <th>comp-benefit-stars</th>\n",
              "      <th>senior-mangemnet-stars</th>\n",
              "      <th>helpful-count</th>\n",
              "      <th>link</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>1</td>\n",
              "      <td>google</td>\n",
              "      <td>none</td>\n",
              "      <td>Dec 11, 2018</td>\n",
              "      <td>Current Employee - Anonymous Employee</td>\n",
              "      <td>Best Company to work for</td>\n",
              "      <td>People are smart and friendly</td>\n",
              "      <td>Bureaucracy is slowing things down</td>\n",
              "      <td>none</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2</td>\n",
              "      <td>google</td>\n",
              "      <td>Mountain View, CA</td>\n",
              "      <td>Jun 21, 2013</td>\n",
              "      <td>Former Employee - Program Manager</td>\n",
              "      <td>Moving at the speed of light, burn out is inev...</td>\n",
              "      <td>1) Food, food, food. 15+ cafes on main campus ...</td>\n",
              "      <td>1) Work/life balance. What balance? All those ...</td>\n",
              "      <td>1) Don't dismiss emotional intelligence and ad...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2094</td>\n",
              "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>3</td>\n",
              "      <td>google</td>\n",
              "      <td>New York, NY</td>\n",
              "      <td>May 10, 2014</td>\n",
              "      <td>Current Employee - Software Engineer III</td>\n",
              "      <td>Great balance between big-company security and...</td>\n",
              "      <td>* If you're a software engineer, you're among ...</td>\n",
              "      <td>* It *is* becoming larger, and with it comes g...</td>\n",
              "      <td>Keep the focus on the user. Everything else wi...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>949</td>\n",
              "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Unnamed: 0 company           location          dates  \\\n",
              "0           1  google               none   Dec 11, 2018   \n",
              "1           2  google  Mountain View, CA   Jun 21, 2013   \n",
              "2           3  google       New York, NY   May 10, 2014   \n",
              "\n",
              "                                  job-title  \\\n",
              "0     Current Employee - Anonymous Employee   \n",
              "1         Former Employee - Program Manager   \n",
              "2  Current Employee - Software Engineer III   \n",
              "\n",
              "                                             summary  \\\n",
              "0                           Best Company to work for   \n",
              "1  Moving at the speed of light, burn out is inev...   \n",
              "2  Great balance between big-company security and...   \n",
              "\n",
              "                                                pros  \\\n",
              "0                      People are smart and friendly   \n",
              "1  1) Food, food, food. 15+ cafes on main campus ...   \n",
              "2  * If you're a software engineer, you're among ...   \n",
              "\n",
              "                                                cons  \\\n",
              "0                 Bureaucracy is slowing things down   \n",
              "1  1) Work/life balance. What balance? All those ...   \n",
              "2  * It *is* becoming larger, and with it comes g...   \n",
              "\n",
              "                                      advice-to-mgmt  overall-ratings  \\\n",
              "0                                               none              5.0   \n",
              "1  1) Don't dismiss emotional intelligence and ad...              4.0   \n",
              "2  Keep the focus on the user. Everything else wi...              5.0   \n",
              "\n",
              "  work-balance-stars culture-values-stars carrer-opportunities-stars  \\\n",
              "0                4.0                  5.0                        5.0   \n",
              "1                2.0                  3.0                        3.0   \n",
              "2                5.0                  4.0                        5.0   \n",
              "\n",
              "  comp-benefit-stars senior-mangemnet-stars  helpful-count  \\\n",
              "0                4.0                    5.0              0   \n",
              "1                5.0                    3.0           2094   \n",
              "2                5.0                    4.0            949   \n",
              "\n",
              "                                                link  \n",
              "0  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
              "1  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
              "2  https://www.glassdoor.com/Reviews/Google-Revie...  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TIp50Pv0KrVP",
        "colab_type": "code",
        "outputId": "a56e0d77-207e-4c00-89a0-075c06af9ef0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "#list of attribute in dataset\n",
        "file.columns"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Unnamed: 0', 'company', 'location', 'dates', 'job-title', 'summary',\n",
              "       'pros', 'cons', 'advice-to-mgmt', 'overall-ratings',\n",
              "       'work-balance-stars', 'culture-values-stars',\n",
              "       'carrer-opportunities-stars', 'comp-benefit-stars',\n",
              "       'senior-mangemnet-stars', 'helpful-count', 'link'],\n",
              "      dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ShiDNZGAKrVT",
        "colab_type": "text"
      },
      "source": [
        "###  #1 Data Preprocessing"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "gHhmNmtMV34v",
        "colab": {}
      },
      "source": [
        "# lets chop out only important attribute for out project\n",
        "imp_column = ['pros','cons','overall-ratings','summary']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "9oU_aGbPWCc6",
        "colab": {}
      },
      "source": [
        "our_dataset = file[imp_column]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "B5GhkbI9WHl2",
        "outputId": "e78d3091-400c-485b-9fa6-4e6814f10d4d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "our_dataset.head(5)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>pros</th>\n",
              "      <th>cons</th>\n",
              "      <th>overall-ratings</th>\n",
              "      <th>summary</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>People are smart and friendly</td>\n",
              "      <td>Bureaucracy is slowing things down</td>\n",
              "      <td>5.0</td>\n",
              "      <td>Best Company to work for</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1) Food, food, food. 15+ cafes on main campus ...</td>\n",
              "      <td>1) Work/life balance. What balance? All those ...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>Moving at the speed of light, burn out is inev...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>* If you're a software engineer, you're among ...</td>\n",
              "      <td>* It *is* becoming larger, and with it comes g...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>Great balance between big-company security and...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>You can't find a more well-regarded company th...</td>\n",
              "      <td>I live in SF so the commute can take between 1...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>The best place I've worked and also the most d...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Google is a world of its own. At every other c...</td>\n",
              "      <td>If you don't work in MTV (HQ), you will be giv...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>Unique, one of a kind dream job</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                pros  \\\n",
              "0                      People are smart and friendly   \n",
              "1  1) Food, food, food. 15+ cafes on main campus ...   \n",
              "2  * If you're a software engineer, you're among ...   \n",
              "3  You can't find a more well-regarded company th...   \n",
              "4  Google is a world of its own. At every other c...   \n",
              "\n",
              "                                                cons  overall-ratings  \\\n",
              "0                 Bureaucracy is slowing things down              5.0   \n",
              "1  1) Work/life balance. What balance? All those ...              4.0   \n",
              "2  * It *is* becoming larger, and with it comes g...              5.0   \n",
              "3  I live in SF so the commute can take between 1...              5.0   \n",
              "4  If you don't work in MTV (HQ), you will be giv...              5.0   \n",
              "\n",
              "                                             summary  \n",
              "0                           Best Company to work for  \n",
              "1  Moving at the speed of light, burn out is inev...  \n",
              "2  Great balance between big-company security and...  \n",
              "3  The best place I've worked and also the most d...  \n",
              "4                    Unique, one of a kind dream job  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "DCHy0ofbKrVm",
        "colab_type": "text"
      },
      "source": [
        "###### Above dataframe is extracted from previous dataset for which we are intrested to train our model."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "QwSrfcgjWIuk",
        "outputId": "291c428c-2e0e-407a-bb0d-d7e1dd590c8e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "# As the task is all about reviewing sentiment, lets combine the overall review from each employee\n",
        "our_dataset['all_review'] = our_dataset['pros'] + our_dataset['cons'] + our_dataset['summary']"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "r35vfXOGbhX6",
        "outputId": "77a9b0f3-6029-4039-a4a9-6f82644c7acc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "import re #python module for regular expression\n",
        "import nltk #python module for natural language processing\n",
        "from nltk.corpus import stopwords \n",
        "from nltk.stem.porter import PorterStemmer\n",
        "ps = PorterStemmer()\n",
        "nltk.download('stopwords')\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Z_VXfoDgKrV1",
        "colab_type": "text"
      },
      "source": [
        "##### Removing punctuation"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MrSMRMv0KrV6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def remove_punctuation(x):\n",
        "    line = re.sub(r'[^a-zA-Z ]+', ' ', str(x))\n",
        "    return line"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qKaTr2UwKrV_",
        "colab_type": "text"
      },
      "source": [
        "##### Removing stopwords"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Xbeyq2T0KrWB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def remove_stopword(x):\n",
        "    line = [word for word in x if not word in set(stopwords.words('english'))]\n",
        "    return line"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SmSYzHOcKrWE",
        "colab_type": "text"
      },
      "source": [
        "##### Converting to lower_case"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RJPnsgzDKrWJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def conv_lower(x):\n",
        "    new = []\n",
        "    for item in x:\n",
        "        new.append(item.lower())\n",
        "    return new"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fybh1B8-KrWT",
        "colab_type": "text"
      },
      "source": [
        "##### Here we do two task:\n",
        "1)Stemming and lammatizing sentence\n",
        "\n",
        "2)Correction of spelling"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Ww0lEzcb0mNY",
        "outputId": "503009fa-266a-400b-c425-0fdf54018a46",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 119
        }
      },
      "source": [
        "nltk.download('wordnet')\n",
        "lemma = nltk.wordnet.WordNetLemmatizer()\n",
        "lemma.lemmatize('article')\n",
        "nltk.download('averaged_perceptron_tagger')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/wordnet.zip.\n",
            "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
            "[nltk_data]     /root/nltk_data...\n",
            "[nltk_data]   Unzipping taggers/averaged_perceptron_tagger.zip.\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mqRCc1LU0o92",
        "colab": {}
      },
      "source": [
        "from textblob import TextBlob\n",
        "def app_lamitz(x):\n",
        "  try:\n",
        "    words = x.split()\n",
        "    result = []\n",
        "    for wor in words:\n",
        "      # print(nltk.pos_tag(wor)[0][1][0])\n",
        "      if nltk.pos_tag(wor)[0][1][0]=='J':\n",
        "        wor = lemma.lemmatize(wor)\n",
        "#         print(wor)\n",
        "      result.append(wor)\n",
        "    value = ' '.join(result)\n",
        "    b = TextBlob(value)\n",
        "    return b.correct()\n",
        "  except:\n",
        "    b = TextBlob(x)\n",
        "    return b.correct()\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "7VEX4O7vXhqe",
        "colab": {}
      },
      "source": [
        "def preprocess_all_review(x):\n",
        "    re_punct = remove_punctuation(x)\n",
        "    re_stopword = remove_stopword(re_punct)\n",
        "    line_lower = conv_lower(re_stopword)\n",
        "    result = ' '.join(re_stopword)\n",
        "    return line_lower\n",
        "our_dataset['preprocess_review'] = our_dataset['all_review'].apply(preprocess_all_review)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "a9hWmpusZhFp",
        "colab": {}
      },
      "source": [
        "#another approch of doing\n",
        "def preprocess_all_review(x):\n",
        "    line = re.sub(r'[^a-zA-Z ]+', ' ', str(x))\n",
        "    line = line.lower()\n",
        "    line = line.split()\n",
        "    line = [word for word in line if not word in set(stopwords.words('english'))]\n",
        "    line = ' '.join(line)\n",
        "    return line\n",
        "our_dataset['preprocess_review'] = our_dataset['all_review'].apply(preprocess_all_review)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "XPIZVzPCYyhV",
        "colab": {}
      },
      "source": [
        "our_dataset.head(5)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "WI9U1PUGsIgP",
        "colab": {}
      },
      "source": [
        "import seaborn as sns"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "c_cfkaS5sTNZ",
        "scrolled": true,
        "colab": {}
      },
      "source": [
        "sns.countplot(x = 'overall-ratings', data=our_dataset)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "n6nzpIVPbIbn",
        "colab_type": "text"
      },
      "source": [
        "###  #2 Feature Extraction and Vectorization"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qBPKTB6pKrXD",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.metrics import classification_report"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8c3_kI4Bbe0U",
        "colab_type": "text"
      },
      "source": [
        "**Converting text into numerical matrix**\n",
        "<br>**CountVectorizer convert text data to numerical values and in vector form(vector in general is multi-dimension array matrix).**\n",
        "\n",
        "\n",
        "> Indented block\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "zTjIOucJQjbQ",
        "colab": {}
      },
      "source": [
        "count_vect = CountVectorizer(max_features=3000)\n",
        "x = count_vect.fit_transform(reviews).toarray()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "IlP5DrOuRKlX",
        "colab": {}
      },
      "source": [
        "y = our_dataset['overall-ratings']"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xi_ATa-scQhL",
        "colab_type": "text"
      },
      "source": [
        "## #3 Classifier"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nbcgpu9hcX4e",
        "colab_type": "text"
      },
      "source": [
        "** 1) Using Naive Bayes**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4k1bqaNTjwsw",
        "colab_type": "text"
      },
      "source": [
        "**Spliting the dataset to train and test data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "aPZ1T-IlRMDG",
        "colab": {}
      },
      "source": [
        "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=0.30, random_state=101)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "WURvqEf3Rgvo",
        "outputId": "88ee174e-8af0-4590-b9a3-7dcffacaab38",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 102
        }
      },
      "source": [
        "gnb = GaussianNB()\n",
        "gnb.fit(x_train, y_train)\n",
        "y_pred = gnb.predict(x_test)\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "cm"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[ 493,  164,  150,  101,  279],\n",
              "       [ 437,  231,  240,  224,  467],\n",
              "       [ 465,  400,  548,  671, 1702],\n",
              "       [ 485,  472,  606, 1174, 4022],\n",
              "       [ 385,  311,  317,  778, 5137]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "AhvLfryxSdWA",
        "outputId": "00627456-22b5-4cbd-cc14-af06ae1464e4",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "print(classification_report(y_test, y_pred))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "         1.0       0.22      0.42      0.29      1187\n",
            "         2.0       0.15      0.14      0.15      1599\n",
            "         3.0       0.29      0.14      0.19      3786\n",
            "         4.0       0.40      0.17      0.24      6759\n",
            "         5.0       0.44      0.74      0.55      6928\n",
            "\n",
            "   micro avg       0.37      0.37      0.37     20259\n",
            "   macro avg       0.30      0.32      0.28     20259\n",
            "weighted avg       0.36      0.37      0.33     20259\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r0pkhi6agSOk",
        "colab_type": "text"
      },
      "source": [
        "**Sepreating the reviews on the basis of rating to two polarities.**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "fPFloOJ0dr4D",
        "colab_type": "text"
      },
      "source": [
        "**2) Using Logistic Regression**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "UxXChZYfaTvY",
        "colab": {}
      },
      "source": [
        "our_dataset['polarity'] = our_dataset['overall-ratings'].apply(lambda x: 1 if x>3 else 0 )"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "rDSIJI6iXRrK",
        "colab": {}
      },
      "source": [
        "file = our_datastet[['preprocess_review','polarity']]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "6M_grAA8cDbm",
        "colab": {}
      },
      "source": [
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.model_selection import train_test_split"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WwWvtfCRnnKe",
        "colab_type": "text"
      },
      "source": [
        "**N-gram convert n-number of words to vector representation.**\n",
        "</br>An N-gram is a sequence of N words: a 2-gram (or bigram) is a two-word sequence of words like “please turn”, “turn your”, or ”your homework”, and a 3-gram (or trigram) is a three-word sequence of words like “please turn your”, or “turn your homework\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "kWg5YnHcdzIK",
        "colab": {}
      },
      "source": [
        "ngram_vectorizer = CountVectorizer(binary=True, ngram_range=(1, 2))\n",
        "ngram_vectorizer.fit(file['preprocess_review'].values.astype('U'))\n",
        "x = ngram_vectorizer.transform(file['preprocess_review'].values.astype('U'))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "j5VSz5Afocr9",
        "colab_type": "text"
      },
      "source": [
        "**Split in 7:3 ration, where  70% is train data and 30% is test data**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "mj-Wm2AheKj1",
        "colab": {}
      },
      "source": [
        "x_train, x_test, y_train, y_test = train_test_split(x, file['polarity'], train_size = 0.7)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "k6KR8uhWo2w4",
        "colab_type": "text"
      },
      "source": [
        "**\"c\" is Inverse regularization parameter of logistic regression. Fitting model with different value of 'c'**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "WLXbHvRTfz2t",
        "colab": {}
      },
      "source": [
        "for c in [0.01, 0.05, 0.25, 0.5, 1]:\n",
        "    lr = LogisticRegression(C=c)\n",
        "    lr.fit(x_train, y_train)\n",
        "    print (\"Accuracy for C=%s: %s\"% (c, accuracy_score(y_test, lr.predict(x_test))))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "OzfVppJZHvyb",
        "colab": {}
      },
      "source": [
        "lr = LogisticRegression(C=0.05)\n",
        "lr.fit(x_train, y_train)\n",
        "# print (\"Accuracy for C=%s: %s\"% (c, accuracy_score(y_test, lr.predict(x_test))))\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "_K9WGhbxH9vO",
        "colab": {}
      },
      "source": [
        "def get_text_result(text):\n",
        "  transformed_text = ngram_vectorizer.transform([text]) #To transfer the input text to vector\n",
        "  prob_list = lr.predict_proba(transformed_text).tolist() #To predict probability of polarrity\n",
        "  max_value_prob = max(prob_list)\n",
        "  max_index = lis.index(max_value_prob)\n",
        "  \n",
        "  if max_index == 0:\n",
        "    return('negative',max_value_prob)    \n",
        "  \n",
        "  return ('positive',max_value_prob)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "_rOhCyiCH9ov",
        "outputId": "aa484a63-402f-4c54-bf30-718dc1afbcea",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "print(get_text_result('i really do not have intrest in living the place'))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[0.2936526147235998, 0.7063473852764002]]\n",
            "('negative', [0.2936526147235998, 0.7063473852764002])\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qJW45FhWp4ET",
        "colab_type": "text"
      },
      "source": [
        "**Our data has huge Biasness so we are stratifing the training data into Kfold**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "e30ZVwM1wbhJ",
        "outputId": "802a2412-6c20-44ad-c1a2-e67a31c740c8",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "#using stratifiedKFlod\n",
        "from sklearn.model_selection import StratifiedKFold\n",
        "skf = StratifiedKFold(n_splits=5)\n",
        "y = file['polarity']\n",
        "skf.get_n_splits(x, y)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ZdOK253ex2AF",
        "outputId": "a47f94d1-b49a-4d79-c4e6-cbbb5598a852",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 241
        }
      },
      "source": [
        "for train_index, test_index in skf.split(x, y):\n",
        "   x_train, x_test = x[train_index], x[test_index]\n",
        "   y_train, y_test = y[train_index], y[test_index]\n",
        "   lr = LogisticRegression(C=0.05)\n",
        "   lr.fit(x_train, y_train)\n",
        "   print (\"Accuracy for C=%s: %s\"%(0.05, accuracy_score(y_test, lr.predict(x_test))))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "TRAIN: [12059 12060 12061 ... 67527 67528 67529] TEST: [    0     1     2 ... 15692 15693 15694]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
            "  FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Accuracy for C=0.05: 0.8076552898497076\n",
            "TRAIN: [    0     1     2 ... 67527 67528 67529] TEST: [12059 12060 12061 ... 28254 28255 28256]\n",
            "Accuracy for C=0.05: 0.7778024581667408\n",
            "TRAIN: [    0     1     2 ... 67527 67528 67529] TEST: [24420 24423 24425 ... 41056 41057 41059]\n",
            "Accuracy for C=0.05: 0.7914260328742782\n",
            "TRAIN: [    0     1     2 ... 67527 67528 67529] TEST: [39115 39116 39117 ... 54989 54995 55008]\n",
            "Accuracy for C=0.05: 0.7647712127943136\n",
            "TRAIN: [    0     1     2 ... 54989 54995 55008] TEST: [53638 53639 53640 ... 67527 67528 67529]\n",
            "Accuracy for C=0.05: 0.7645316549426139\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "ENVMabUOaMgi",
        "outputId": "40ac9986-d508-42a4-9b89-18ab87be2a81",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 870
        }
      },
      "source": [
        "###TFIDF\n",
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "from sklearn.metrics import precision_score, recall_score, f1_score\n",
        "ngram_vectorizer = TfidfVectorizer(ngram_range=(1, 3))\n",
        "ngram_vectorizer.fit(file['preprocess_review'].values.astype('U'))\n",
        "x = ngram_vectorizer.transform(file['preprocess_review'].values.astype('U'))\n",
        "x_train_rating, x_test_rating, y_train_rating, y_test_rating = train_test_split(x, file['polarity'], train_size = 0.70)\n",
        "for c in [1.5,1.75,2.0,2.5,3.0,3.5,4.0,4.5,5.0]:\n",
        "    lr = LogisticRegression(C=c)\n",
        "    lr.fit(x_train_rating, y_train_rating)\n",
        "    print (\"Accuracy for C=%s: %s\"%(c, accuracy_score(y_test_rating, lr.predict(x_test_rating) ) ))\n",
        "    print( 'precision:',precision_score(y_test_rating, lr.predict(x_test_rating) , average='macro') )\n",
        "    print('recall', recall_score(y_test_rating, lr.predict(x_test_rating), average='macro'))\n",
        "    print('f1-score',f1_score(y_test_rating,lr.predict(x_test_rating), average='macro'))\n",
        "    print(' ')\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/sklearn/model_selection/_split.py:2179: FutureWarning: From version 0.21, test_size will always complement train_size unless both are specified.\n",
            "  FutureWarning)\n",
            "/usr/local/lib/python3.6/dist-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
            "  FutureWarning)\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "Accuracy for C=1.5: 0.7897724468137618\n",
            "precision: 0.7881694117126571\n",
            "recall 0.7089787748490514\n",
            "f1-score 0.7271092885142094\n",
            " \n",
            "Accuracy for C=1.75: 0.7912532701515376\n",
            "precision: 0.788187952811472\n",
            "recall 0.7124279529490338\n",
            "f1-score 0.7304813501305534\n",
            " \n",
            "Accuracy for C=2.0: 0.7926353719334617\n",
            "precision: 0.788414912757619\n",
            "recall 0.715524762141379\n",
            "f1-score 0.7334869203085015\n",
            " \n",
            "Accuracy for C=2.5: 0.7947578853842736\n",
            "precision: 0.7891187690729595\n",
            "recall 0.7200467545932951\n",
            "f1-score 0.7378511084286687\n",
            " \n",
            "Accuracy for C=3.0: 0.7954489362752357\n",
            "precision: 0.7884168362735471\n",
            "recall 0.7223536538585322\n",
            "f1-score 0.7398904612210772\n",
            " \n",
            "Accuracy for C=3.5: 0.7960906263882719\n",
            "precision: 0.788028444617427\n",
            "recall 0.7243047251956987\n",
            "f1-score 0.741617904350115\n",
            " \n",
            "Accuracy for C=4.0: 0.7965348733896046\n",
            "precision: 0.7876821219298606\n",
            "recall 0.7257506625778706\n",
            "f1-score 0.7428732045838329\n",
            " \n",
            "Accuracy for C=4.5: 0.7964855126116788\n",
            "precision: 0.7869701361165665\n",
            "recall 0.7263130124070885\n",
            "f1-score 0.7432636696738804\n",
            " \n",
            "Accuracy for C=5.0: 0.7966829557233822\n",
            "precision: 0.7867291320598007\n",
            "recall 0.7270576709944192\n",
            "f1-score 0.7438897917232751\n",
            " \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "QDoAtoWhw9pf",
        "colab": {}
      },
      "source": [
        "# from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "# from sklearn.model_selection import StratifiedKFold\n",
        "# from sklearn.linear_model import LogisticRegression\n",
        "# from sklearn.metrics import precision_score, recall_score, f1_score\n",
        "# tvec = TfidfVectorizer(ngram_range=(1, 3))\n",
        "# lr_tf = LogisticRegression()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "kMoxCjU5xIq4",
        "colab": {}
      },
      "source": [
        "# def lr_cv(splits, X, Y, pipeline, average_method):\n",
        "    \n",
        "#     kfold = StratifiedKFold(n_splits=splits, shuffle=True, random_state=777)\n",
        "#     accuracy = []\n",
        "#     precision = []\n",
        "#     recall = []\n",
        "#     f1 = []\n",
        "#     for train, test in kfold.split(X, Y):\n",
        "#         lr_fit = pipeline.fit(X[train], Y[train])\n",
        "#         prediction = lr_fit.predict(X[test])\n",
        "#         scores = lr_fit.score(X[test],Y[test])\n",
        "        \n",
        "#         accuracy.append(scores * 100)\n",
        "#         precision.append(precision_score(Y[test], prediction, average=average_method)*100)\n",
        "#         print('              negative    positive     ')\n",
        "#         print('precision:',precision_score(Y[test], prediction, average=None))\n",
        "#         recall.append(recall_score(Y[test], prediction, average=average_method)*100)\n",
        "#         print('recall:   ',recall_score(Y[test], prediction, average=None))\n",
        "#         f1.append(f1_score(Y[test], prediction, average=average_method)*100)\n",
        "#         print('f1 score: ',f1_score(Y[test], prediction, average=None))\n",
        "#         print('-'*50)\n",
        "\n",
        "#     print(\"accuracy: %.2f%% (+/- %.2f%%)\" % (np.mean(accuracy), np.std(accuracy)))\n",
        "#     print(\"precision: %.2f%% (+/- %.2f%%)\" % (np.mean(precision), np.std(precision)))\n",
        "#     print(\"recall: %.2f%% (+/- %.2f%%)\" % (np.mean(recall), np.std(recall)))\n",
        "#     print(\"f1 score: %.2f%% (+/- %.2f%%)\" % (np.mean(f1), np.std(f1)))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab_type": "code",
        "id": "Ok_0v7e-xO1B",
        "colab": {}
      },
      "source": [
        "# from sklearn.pipeline import Pipeline\n",
        "# original_pipeline = Pipeline([\n",
        "#     ('vectorizer', tvec),\n",
        "#     ('classifier', lr_tf)\n",
        "# ])\n",
        "# lr_cv(5, file['preprocess_review'].values.astype('U'), file['polarity'], original_pipeline, 'macro')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MpJeEWzKKyaU",
        "colab_type": "text"
      },
      "source": [
        "####  3) Using Neural network (Fastai library)\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bXBw5xedLU8g",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "file = pd.read_csv('./customer_review/employee_reviews.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MbR4kWC8rAti",
        "colab_type": "text"
      },
      "source": [
        "**Importing Deep learning library (fastai with pytorch to be exact)**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WUPfi4KXLse1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import fastai\n",
        "from fastai import *\n",
        "from fastai.text import *\n",
        "from functools import partial\n",
        "import io\n",
        "import os"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "WiRcl6WVrSyS",
        "colab_type": "text"
      },
      "source": [
        "**Dropping \"unnamed:0\" because, this attribute is redundent and created automatically while processing dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lBL6c8-FL3Ry",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "file.drop('Unnamed: 0',axis=1,inplace=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cOtRsMsFPtv8",
        "colab_type": "code",
        "outputId": "1cbf7a42-e891-4ad1-8037-7e2d391fb2c9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 485
        }
      },
      "source": [
        "# file= file.dropna(how='any',axis=0,inplace=True)\n",
        "file.dropna(axis=0, how='any', inplace=True)\n",
        "# file.isna()\n",
        "file.head(3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>company</th>\n",
              "      <th>location</th>\n",
              "      <th>dates</th>\n",
              "      <th>job-title</th>\n",
              "      <th>summary</th>\n",
              "      <th>pros</th>\n",
              "      <th>cons</th>\n",
              "      <th>advice-to-mgmt</th>\n",
              "      <th>overall-ratings</th>\n",
              "      <th>work-balance-stars</th>\n",
              "      <th>culture-values-stars</th>\n",
              "      <th>carrer-opportunities-stars</th>\n",
              "      <th>comp-benefit-stars</th>\n",
              "      <th>senior-mangemnet-stars</th>\n",
              "      <th>helpful-count</th>\n",
              "      <th>link</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>google</td>\n",
              "      <td>none</td>\n",
              "      <td>Dec 11, 2018</td>\n",
              "      <td>Current Employee - Anonymous Employee</td>\n",
              "      <td>Best Company to work for</td>\n",
              "      <td>People are smart and friendly</td>\n",
              "      <td>Bureaucracy is slowing things down</td>\n",
              "      <td>none</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>0</td>\n",
              "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>google</td>\n",
              "      <td>Mountain View, CA</td>\n",
              "      <td>Jun 21, 2013</td>\n",
              "      <td>Former Employee - Program Manager</td>\n",
              "      <td>Moving at the speed of light, burn out is inev...</td>\n",
              "      <td>1) Food, food, food. 15+ cafes on main campus ...</td>\n",
              "      <td>1) Work/life balance. What balance? All those ...</td>\n",
              "      <td>1) Don't dismiss emotional intelligence and ad...</td>\n",
              "      <td>4.0</td>\n",
              "      <td>2.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>3.0</td>\n",
              "      <td>2094</td>\n",
              "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>google</td>\n",
              "      <td>New York, NY</td>\n",
              "      <td>May 10, 2014</td>\n",
              "      <td>Current Employee - Software Engineer III</td>\n",
              "      <td>Great balance between big-company security and...</td>\n",
              "      <td>* If you're a software engineer, you're among ...</td>\n",
              "      <td>* It *is* becoming larger, and with it comes g...</td>\n",
              "      <td>Keep the focus on the user. Everything else wi...</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>949</td>\n",
              "      <td>https://www.glassdoor.com/Reviews/Google-Revie...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  company           location          dates  \\\n",
              "0  google               none   Dec 11, 2018   \n",
              "1  google  Mountain View, CA   Jun 21, 2013   \n",
              "2  google       New York, NY   May 10, 2014   \n",
              "\n",
              "                                  job-title  \\\n",
              "0     Current Employee - Anonymous Employee   \n",
              "1         Former Employee - Program Manager   \n",
              "2  Current Employee - Software Engineer III   \n",
              "\n",
              "                                             summary  \\\n",
              "0                           Best Company to work for   \n",
              "1  Moving at the speed of light, burn out is inev...   \n",
              "2  Great balance between big-company security and...   \n",
              "\n",
              "                                                pros  \\\n",
              "0                      People are smart and friendly   \n",
              "1  1) Food, food, food. 15+ cafes on main campus ...   \n",
              "2  * If you're a software engineer, you're among ...   \n",
              "\n",
              "                                                cons  \\\n",
              "0                 Bureaucracy is slowing things down   \n",
              "1  1) Work/life balance. What balance? All those ...   \n",
              "2  * It *is* becoming larger, and with it comes g...   \n",
              "\n",
              "                                      advice-to-mgmt  overall-ratings  \\\n",
              "0                                               none              5.0   \n",
              "1  1) Don't dismiss emotional intelligence and ad...              4.0   \n",
              "2  Keep the focus on the user. Everything else wi...              5.0   \n",
              "\n",
              "  work-balance-stars culture-values-stars carrer-opportunities-stars  \\\n",
              "0                4.0                  5.0                        5.0   \n",
              "1                2.0                  3.0                        3.0   \n",
              "2                5.0                  4.0                        5.0   \n",
              "\n",
              "  comp-benefit-stars senior-mangemnet-stars  helpful-count  \\\n",
              "0                4.0                    5.0              0   \n",
              "1                5.0                    3.0           2094   \n",
              "2                5.0                    4.0            949   \n",
              "\n",
              "                                                link  \n",
              "0  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
              "1  https://www.glassdoor.com/Reviews/Google-Revie...  \n",
              "2  https://www.glassdoor.com/Reviews/Google-Revie...  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "YPksOXKmsFWc",
        "colab_type": "text"
      },
      "source": [
        "**There are many unnecessary data in out dataset to extracting 'positive' data into new dataset.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "06mKzkSmkUH9",
        "colab_type": "code",
        "outputId": "ed7c202a-0753-4105-81fa-a6b6671511f7",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "dataset = pd.DataFrame()\n",
        "dataset['text'] = file['pros']\n",
        "dataset['label'] = 'positive'\n",
        "dataset.head()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>text</th>\n",
              "      <th>label</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>People are smart and friendly</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1) Food, food, food. 15+ cafes on main campus ...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>* If you're a software engineer, you're among ...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>You can't find a more well-regarded company th...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Google is a world of its own. At every other c...</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                                                text     label\n",
              "0                      People are smart and friendly  positive\n",
              "1  1) Food, food, food. 15+ cafes on main campus ...  positive\n",
              "2  * If you're a software engineer, you're among ...  positive\n",
              "3  You can't find a more well-regarded company th...  positive\n",
              "4  Google is a world of its own. At every other c...  positive"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "do-4cF7HsWC9",
        "colab_type": "text"
      },
      "source": [
        "**Again, extracting the negative text to new dataframe.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "x_SmgA7YkmMg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "neg_dataset = pd.DataFrame()\n",
        "neg_dataset['text'] = file['cons']\n",
        "neg_dataset['label'] = 'negative'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mgPhS8kpse37",
        "colab_type": "text"
      },
      "source": [
        "**Combining the newly created both dataset into one.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YfDOcTwElMkB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_dataset = dataset.append(neg_dataset)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "a4Ev957jsukO",
        "colab_type": "text"
      },
      "source": [
        "**Shuffling the dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CRwperd7lVFu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.utils import shuffle\n",
        "final_dataset = shuffle(final_dataset)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YMeFj4gdlqTA",
        "colab_type": "code",
        "outputId": "f13739d8-aabe-40de-8897-97372ebdcb0e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 258
        }
      },
      "source": [
        "final_dataset = final_dataset.reindex_axis(['label','text','is_valid'], axis=1)\n",
        "final_dataset.head(5)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/ipykernel_launcher.py:1: FutureWarning: '.reindex_axis' is deprecated and will be removed in a future version. Use '.reindex' instead.\n",
            "  \"\"\"Entry point for launching an IPython kernel.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>label</th>\n",
              "      <th>text</th>\n",
              "      <th>is_valid</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>47019</th>\n",
              "      <td>positive</td>\n",
              "      <td>v nice, exciting , fun and enjoyable</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36105</th>\n",
              "      <td>negative</td>\n",
              "      <td>Favoritism gets you everywhere! Performance do...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20475</th>\n",
              "      <td>negative</td>\n",
              "      <td>you have to work pretty long hours/days</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31966</th>\n",
              "      <td>negative</td>\n",
              "      <td>0. Horrendous pay. 1. Simply no perks. Employe...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32675</th>\n",
              "      <td>positive</td>\n",
              "      <td>At amazon you get to work with the most talent...</td>\n",
              "      <td>NaN</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "          label                                               text  is_valid\n",
              "47019  positive               v nice, exciting , fun and enjoyable       NaN\n",
              "36105  negative  Favoritism gets you everywhere! Performance do...       NaN\n",
              "20475  negative            you have to work pretty long hours/days       NaN\n",
              "31966  negative  0. Horrendous pay. 1. Simply no perks. Employe...       NaN\n",
              "32675  positive  At amazon you get to work with the most talent...       NaN"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LCN1O-ngHaRy",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def preprocess_all_review(x):\n",
        "    line = re.sub(r'[^a-zA-Z ]+', ' ', str(x))\n",
        "    line = line.lower()\n",
        "    line = line.split()\n",
        "    line = [word for word in line if not word in set(stopwords.words('english'))]\n",
        "    line = ' '.join(line)\n",
        "    return line\n",
        "final_dataset['text']=final_dataset['text'].apply(preprocess_all_review)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "trhxc_XSrajm",
        "colab_type": "code",
        "outputId": "367b0cb3-830a-4686-a30d-88e897779b67",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "final_dataset['is_valid'].unique()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['negative', 'positive'], dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8bn6kekYtKHa",
        "colab_type": "text"
      },
      "source": [
        "**Making nearly 27k review as validation dataset**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LexhTh9Mp_ZE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_dataset['is_valid'] = 'False'\n",
        "change = final_dataset.sample(27011).index\n",
        "final_dataset.loc[change,'is_valid'] = 'True'\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1H4XnyhiWgHw",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def polar(x):\n",
        "  if x>=3.0:\n",
        "    return 'positive'\n",
        "  else:\n",
        "    return 'negative'\n",
        "file['polarity'] = file['overall-ratings'].apply(polar)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "578RvwS3tjst",
        "colab_type": "text"
      },
      "source": [
        "**Converting the text data to vectorizer form.**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7Qf4ANSdQTGg",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "final_dataset.to_csv('texts.csv')\n",
        "data_lm = TextLMDataBunch.from_csv(csv_name='texts.csv',path='.',text_cols='text',label_cols='label')\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rUxlKMYRt_hZ",
        "colab_type": "text"
      },
      "source": [
        "**Converting the vectorizer form, suitable for training to Attention with LSTM model **"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xgo_c6H1RCxS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data_clas = TextClasDataBunch.from_csv(csv_name='texts.csv',path='.',text_cols='text',label_cols='label', vocab=data_lm.train_ds.vocab, bs=32)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bfBtCgvVRFnh",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data_lm.save('data_lm_export.pkl')\n",
        "data_clas.save('data_clas_export.pkl')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pk5SCvDtRqCu",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "data_lm = load_data('.', 'data_lm_export.pkl')\n",
        "data_clas = load_data('.', 'data_clas_export.pkl', bs=16)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xTIXUa0uR7cz",
        "colab_type": "code",
        "outputId": "54b0bde6-a963-4f27-9af3-497e46b3dc20",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 103
        }
      },
      "source": [
        "learn = language_model_learner(data_lm, AWD_LSTM, drop_mult=0.5)\n",
        "learn.fit_one_cycle(1, 1e-2)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "Total time: 06:08 <p><table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>4.138028</td>\n",
              "      <td>3.921427</td>\n",
              "      <td>0.284739</td>\n",
              "      <td>06:08</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8vmXYvthTq3A",
        "colab_type": "code",
        "outputId": "2b216114-d017-45b4-8f6b-7871b9387631",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 103
        }
      },
      "source": [
        "learn.unfreeze()\n",
        "learn.fit_one_cycle(1, 1e-3)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "Total time: 07:20 <p><table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>3.722393</td>\n",
              "      <td>3.661165</td>\n",
              "      <td>0.316539</td>\n",
              "      <td>07:20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "T6FSbDqGUcZm",
        "colab_type": "code",
        "outputId": "23dbc6bb-f5a4-4f70-90f0-0883b7366011",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "learn.predict(\"This is a review about\", n_words=10)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'This is a review about and feel like you ’re working at Microsoft ,'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Szxy7G5lUikM",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "learn.save_encoder('ft_enc')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cCYEgysiUsvA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "learn = text_classifier_learner(data_clas, AWD_LSTM, drop_mult=0.5)\n",
        "learn.load_encoder('ft_enc')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8FMyO1l_U1Wp",
        "colab_type": "code",
        "outputId": "16366f7b-961e-4265-8670-4739ed25d09d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "data_clas.show_batch()\n"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th>text</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>xxbos - xxmaj you will likely start as a xxup picker , the grunts / backbone of xxmaj amazon itself , they walk between 9 - 12 miles a night ( xxmaj average rates ) to between 12 - 20 miles a night . xxmaj on foot . ( 200 - 300 % rate . ) xxmaj the latter figure of 20 is extremely hard / rare , but we</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>xxbos xxmaj great pay bump compared to xxup xxunk ( you will also likely receive a hiring bonus and a xxup rsu award ) , full benefits which begin on day one , lots of opportunities for professional development provided you 're willing to take on safety responsibilities outside of xxunk first aid ( not mandatory but if you want to climb that 's the next rung ) , 4</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>xxbos - xxmaj learning the xxmaj app xxmaj store guidelines has a steep learning curve . - xxmaj lack of communication across all teams and levels . xxmaj ideas get lost into the abyss . xxmaj messages are always misunderstood . - xxmaj no transparency with any business and operational changes . xxmaj app reviewers are never told how or why management came up with the \" solutions \" .</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>xxbos xxmaj burnout is real , y' all . xxmaj with the continual desire to \" raise the bar , \" the result is people who stay later , who have more papers that say they 're educated , who put work before family , or who move faster than is wise . i equate it to a xxunk with a bunch of competitive clowns at the helm . xxmaj</td>\n",
              "      <td>negative</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>xxbos + xxmaj you made it ! xxmaj you ’ve been hired after a grueling interview process that included everyone you ’ll be working with and your entire management chain . xxmaj they made a point of annoying you just to see how you reacted and you kept your cool and showed your smarts . xxmaj you ’re golden !    + xxmaj casual atmosphere -- you can wear shorts</td>\n",
              "      <td>positive</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gNWmSAoMudEX",
        "colab_type": "code",
        "outputId": "e2560379-0a7f-4961-9983-911f11d46a92",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 103
        }
      },
      "source": [
        "learn.fit_one_cycle(1, 1e-2)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "Total time: 12:30 <p><table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>0.262499</td>\n",
              "      <td>0.162443</td>\n",
              "      <td>0.938024</td>\n",
              "      <td>12:30</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-uAD9vDaugsj",
        "colab_type": "code",
        "outputId": "8d67ed9d-213c-4d33-b720-a1eb93cf249f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 103
        }
      },
      "source": [
        "learn.freeze_to(-2)\n",
        "learn.fit_one_cycle(1, slice(5e-3/2., 5e-3))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "Total time: 15:20 <p><table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>0.184462</td>\n",
              "      <td>0.126125</td>\n",
              "      <td>0.953890</td>\n",
              "      <td>15:20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HHL4Wjrfujjq",
        "colab_type": "code",
        "outputId": "6018cd5d-92aa-4b5a-9394-851b3206704b",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 103
        }
      },
      "source": [
        "learn.unfreeze()\n",
        "learn.fit_one_cycle(1, slice(2e-3/100, 2e-3))"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "Total time: 27:43 <p><table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>0.138191</td>\n",
              "      <td>0.113443</td>\n",
              "      <td>0.959105</td>\n",
              "      <td>27:43</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Q_0YdzWJxQbl",
        "colab_type": "code",
        "outputId": "ec181070-9c29-4e8f-c9b8-491b46e5657c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "\n",
        "print(' ')\n",
        "learn.predict(\"i really do not like to work here\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            " \n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Category negative, tensor(0), tensor([0.8796, 0.1204]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 42
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g2LRJfRUGuXU",
        "colab_type": "code",
        "outputId": "8bcae409-6289-4f53-c4ff-a23db03da73f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "learn.predict(\"Great to work here, such a good environment\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Category positive, tensor(1), tensor([0.0114, 0.9886]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 44
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YGzT15xBGwvi",
        "colab_type": "code",
        "outputId": "5569e8e9-30a3-4ee6-ea6e-2b389845c2cd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "learn.predict(\"i have a mix feeling for this place\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Category positive, tensor(1), tensor([0.4098, 0.5902]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZXfeKNOI1rTQ",
        "colab_type": "code",
        "outputId": "fdc1bd42-36a4-4f5b-9bbc-084a7df67fb2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "learn.predict('i am extremly overwhelmed by the treacherous and torrid journey to the eutopia where i found the splendid mesmerizing scenic canvas to color my dream')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Category negative, tensor(0), tensor([0.7492, 0.2508]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PtEvFlK5G6YI",
        "colab_type": "code",
        "outputId": "d97a18e1-f3ef-49ac-def5-20e484b29d40",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "learn.predict('the girl with sweet smile and charismatic attitude makes my heart full of love for her')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Category positive, tensor(1), tensor([0.2539, 0.7461]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uLXb7iHf26sQ",
        "colab_type": "code",
        "outputId": "0ae7d191-0f72-4ad5-dd64-0414369c4459",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "learn.predict('I am very honoured to be part of this organization')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(Category positive, tensor(1), tensor([0.3517, 0.6483]))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rdCUrm650tRo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "learn.export()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xJZ_srzB8LDK",
        "colab_type": "text"
      },
      "source": [
        "### In production"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "V291Lfg-8MFx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import fastai\n",
        "from fastai import *\n",
        "from fastai.text import *\n",
        "from functools import partial\n",
        "import io\n",
        "import os"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8GtTlD3kXus0",
        "colab_type": "code",
        "outputId": "834eb227-c9e8-4b46-a979-3673a6a2cf87",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 122
        }
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/gdrive')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3Aietf%3Awg%3Aoauth%3A2.0%3Aoob&scope=email%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdocs.test%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fdrive.photos.readonly%20https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "idtRuqWq1Gjd",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model_path= './gdrive/My Drive/sentiment_weight'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "daVYMZyI8a2_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "learn_trained = load_learner(model_path)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "97jIm7V3_9UO",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "\n",
        "import ipywidgets as widgets"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Mxfj8k7piu_B",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def record_review(org_name, polarity_value):\n",
        "  with open(\"test.txt\", \"a\") as myfile:\n",
        "    write_text = org_name+ ',' + str(polarity_value[0]) + ',' + str(polarity_value[1]) + '\\n'\n",
        "    myfile.write(write_text)\n",
        "    \n",
        "  "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BN-URc6GFONq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def overall_company_review(name_of_company):\n",
        "  data = pd.read_csv('test.txt', names=['company','positive','negative'])\n",
        "  value = data.groupby(['company']).mean().loc[name_of_company]\n",
        "  sns.barplot(x=['positive','negative'], y=tuple(reversed([100*val for val in value])))\n",
        "  print('overall opinion of employee for',name_of_company,'is positive',value[1],' negative',value[0])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wzGkQg8N8UaK",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# from matplotlib.widgets import RadioButtons\n",
        "\n",
        "def find_result(x):\n",
        "  if abs(x[0]-x[1]) <= 0.15:\n",
        "    return ('neutral',5)\n",
        "  elif (x[0] - x[1]) >= 0.6:\n",
        "    return ('extremly negative',1)\n",
        "  elif (x[1] - x[0]) >= 0.6:\n",
        "    return ('extremly positive',9)\n",
        "  elif x[0] > x[1]:\n",
        "    return ('negative',3)\n",
        "  else:\n",
        "    return('positive',7)\n",
        "def prediction_result(x):\n",
        "  a= learn_trained.predict(x)\n",
        "  size = a[2].tolist()\n",
        "  labels = 'negative', 'positive'\n",
        "  colors = ['yellowgreen','lightskyblue']\n",
        "#   a = plt.pie(size, labels=labels, colors=colors,shadow=True,autopct='%1.0f%%')\n",
        "#   radio = RadioButtons(a, ('extremly negative', 'negative', 'neutral','positive','extremly positive'))\n",
        "#   plt.show()\n",
        "#   print(size)\n",
        "  print('Text:',x)\n",
        "  result = find_result(size)\n",
        "  print(\"Sentiment class:\",result[0])\n",
        "  return result[1],size\n",
        "  \n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GIQz4C88gqi5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def prediction_result_polarity(x):\n",
        "  a= learn_trained.predict(x)\n",
        "  size = a[2].tolist()\n",
        "  labels = 'negative', 'positive'\n",
        "  colors = ['yellowgreen','lightskyblue']\n",
        "#   a = plt.pie(size, labels=labels, colors=colors,shadow=True,autopct='%1.0f%%')\n",
        "#   radio = RadioButtons(a, ('extremly negative', 'negative', 'neutral','positive','extremly positive'))\n",
        "#   plt.show()\n",
        "#   print(size)\n",
        "#   print('Text:',x)\n",
        "#   result = find_result(size)\n",
        "#   print(\"Sentiment class:\",result[0])\n",
        "  return size"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9jGSwgr03LzI",
        "colab_type": "code",
        "outputId": "b376a2f6-0714-4ab5-d327-28a8a512de53",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "def review_show(org_name,review):\n",
        "  res = prediction_result(review)\n",
        "  widgets.IntSlider(value=res[0],min=0,max=10,step=1,description='Sentiment:',disabled=False,continuous_update=False,orientation='horizontal',readout=False,readout_format='d')\n",
        "  record_review(org_name, res[1])\n",
        "review_show('leapfrog','it feels good working in abc company')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: it feels good working in abc company\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kzcKtyb-wPXH",
        "colab_type": "code",
        "outputId": "c0b75ece-8e3d-4605-af48-863e31faa2b1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('leapfrog','Fun and innovative place to work. Would highly recommend to any freshers')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: Fun and innovative place to work. Would highly recommend to any freshers\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "aRM67VyQaYkM",
        "colab_type": "code",
        "outputId": "40faf833-5fc8-4ff0-aa02-240ed3f7ed5d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "review_show('leapfrog','Have good culture, Friendly environment. Room for growth')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: Have good culture, Friendly environment. Room for growth\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ofD-y2RX4_iE",
        "colab_type": "code",
        "outputId": "0971bfc7-a43d-4dd1-a5dc-5d70f56d4ac9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('leapfrog','This organisation has a potential to team up and solve the  day to day  issue with innovation and team work')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: This organisation has a potential to team up and solve the  day to day  issue with innovation and team work\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GR4LLJVA5Chf",
        "colab_type": "code",
        "outputId": "1be6aa87-ccf1-4ad4-b6a2-44741ac143ae",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('leapfrog','the work culture  here  has a contrast with similarity, slightly flexible but strict to the deadline,which makes our work easy and quite pushing at the same time')\n",
        " "
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: the work culture  here  has a contrast with similarity, slightly flexible but strict to the deadline,which makes our work easy and quite pushing at the same time\n",
            "Sentiment class: negative\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LSurm56uKgjP",
        "colab_type": "code",
        "outputId": "639e8fff-74b0-455e-9933-9925965d266c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('leapfrog','This organisation has not enough character to build and solve the day to day  issue with integrity and hard work.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: This organisation has not enough character to build and solve the day to day  issue with integrity and hard work.\n",
            "Sentiment class: extremly negative\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7LuRn_oqKmLB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Aybrprmja6hs",
        "colab_type": "code",
        "outputId": "73b85736-a0bc-4eeb-f8f6-5e288caffd38",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('leapfrog', \"I like this company. The work culture is great and the benifits are awesome\")"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: I like this company. The work culture is great and the benifits are awesome\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9TgzGuTL5W09",
        "colab_type": "code",
        "outputId": "d2238038-256c-4dd0-fa6a-8adc271bf2d9",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('fuse', 'i find the company really frustrating. As, i am spritual person i tend to find happiness around anything.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: i find the company really frustrating. As, i am spritual person i tend to find happiness around anything.\n",
            "Sentiment class: extremly negative\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IKI7lE4B5kFo",
        "colab_type": "code",
        "outputId": "d53ec42d-50cd-449f-e83c-52fcd82ffb16",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('fuse', 'I am having a good time in this comapny. I guess i will continue to have such.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: I am having a good time in this comapny. I guess i will continue to have such.\n",
            "Sentiment class: positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bleUvdJXE_uk",
        "colab_type": "code",
        "outputId": "cf2f4eac-9483-4027-97f3-3c79e33d3ed1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('fuse','I have a mix feeling for the company. On one hand, I see many people over here energetic and responsible towards their set-goal. On other hand, I see so many frustrated employee in this company. So, in conclusion i think, people are energetic because of challenging project they are recieving and some are frustrated because they are not being paid as they deserve.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: I have a mix feeling for the company. On one hand, I see many people over here energetic and responsible towards their set-goal. On other hand, I see so many frustrated employee in this company. So, in conclusion i think, people are energetic because of challenging project they are recieving and some are frustrated because they are not being paid as they deserve.\n",
            "Sentiment class: negative\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kAsDzZGcdc2n",
        "colab_type": "code",
        "outputId": "37e4f56c-baca-4bab-90eb-c49ea024ca30",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('fuse',' I am extremly happy being here. It is like my dream come true moment.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text:  I am extremly happy being here. It is like my dream come true moment.\n",
            "Sentiment class: positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8x0AI6y3drhJ",
        "colab_type": "code",
        "outputId": "80c5ba04-9f23-40dc-978a-3d488be36524",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        }
      },
      "source": [
        "review_show('fuse','This is extra-ordinary to work people here are well managed well responsible and proactive in nature.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: This is extra-ordinary to work people here are well managed well responsible and proactive in nature.\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FPb712NWFE3I",
        "colab_type": "code",
        "outputId": "c3568ead-d00d-48e4-9bd2-2eb4b7dd2282",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "overall_company_review('leapfrog')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "overall opinion of employee for leapfrog is positive 0.7528850989682334  negative 0.24711487971113197\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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BD8ktwGVVVUkCzFTV25ZVuXr1/XntHzII4oeq6vglvMYrGLwzPLGq/jfJnQyCeFFVdU+S\nB5L8MvDbDEb8MPjl8PKq8t5PS+AIfTKemeTk1v4dYBZYn+So1vcq4F+SPBl4ag0u4HoTcNwCr/Ud\n4CmLHOcyBrc0PotBuMPgbfTpSZ4GkOSQJCPd+EePK98GvpHktwAysPv8+xLw8tY+c94+TwV2tTB/\nIY/eUOonnaMAlwBvZXCuX9/6PgO8oQ1ASHLCSv9BjwcG+mTcCrwuyU7gYOB9wGsYvL29AfgR8EEG\nPwRXtrewXwDevMBrfQT44O4/is5fUVUPAjuBZ1XVNa3vZgZz9p9tr7uNR99KS/O9AjgnyVeBm3j0\n+w7OBd7czp+jGEwNAlwETLdz+GwG7wypqgeALya5cf4f6ufZyuAXw6Xz+v4c2B+4PslNbVlD+LHF\nvcyPcOmxLsmTgP9uU3hnMvgDqZ9C2Qc4hy5pqU4EPtCmQx4CfnfC9ahxhC5JnXAOXZI6YaBLUicM\ndEnqhIEuSZ0w0CWpEwa6JHXi/wAAOxs6PmcbkwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GuDQfp5WdQo3",
        "colab_type": "code",
        "outputId": "46f616f8-caab-4262-d607-ea7ab8fad458",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 286
        }
      },
      "source": [
        "overall_company_review('fuse')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "overall opinion of employee for fuse is positive 0.5249554634094238  negative 0.47504452988505363\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y4oGvWTcdTwr",
        "colab_type": "code",
        "outputId": "48f7843a-21bc-406b-dac5-c93fa2755664",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "review_show('leapfrog','it was sadly awesome')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: it was sadly awesome\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-kDiVhrcLcWI",
        "colab_type": "text"
      },
      "source": [
        "Review summerization\n",
        "\"\""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EFxKEM5_iK9b",
        "colab_type": "code",
        "outputId": "f3c34ed5-8877-4ec9-87a3-ffe66a977268",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 68
        }
      },
      "source": [
        "prediction_result('it was sadly awesome')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: it was sadly awesome\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(9, [0.1904989331960678, 0.8095009922981262])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7xuNlewTiO0u",
        "colab_type": "code",
        "outputId": "69b4ed28-a761-4692-c197-72a72228db18",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        }
      },
      "source": [
        "!pip install paramiko\n",
        "from gensim.summarization.summarizer import summarize"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting paramiko\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/cf/ae/94e70d49044ccc234bfdba20114fa947d7ba6eb68a2e452d89b920e62227/paramiko-2.4.2-py2.py3-none-any.whl (193kB)\n",
            "\u001b[K     |████████████████████████████████| 194kB 4.7MB/s \n",
            "\u001b[?25hCollecting cryptography>=1.5 (from paramiko)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/5b/12/b0409a94dad366d98a8eee2a77678c7a73aafd8c0e4b835abea634ea3896/cryptography-2.6.1-cp34-abi3-manylinux1_x86_64.whl (2.3MB)\n",
            "\u001b[K     |████████████████████████████████| 2.3MB 20.9MB/s \n",
            "\u001b[?25hRequirement already satisfied: pyasn1>=0.1.7 in /usr/local/lib/python3.6/dist-packages (from paramiko) (0.4.5)\n",
            "Collecting pynacl>=1.0.1 (from paramiko)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/27/15/2cd0a203f318c2240b42cd9dd13c931ddd61067809fee3479f44f086103e/PyNaCl-1.3.0-cp34-abi3-manylinux1_x86_64.whl (759kB)\n",
            "\u001b[K     |████████████████████████████████| 768kB 44.0MB/s \n",
            "\u001b[?25hCollecting bcrypt>=3.1.3 (from paramiko)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/d0/79/79a4d167a31cc206117d9b396926615fa9c1fdbd52017bcced80937ac501/bcrypt-3.1.6-cp34-abi3-manylinux1_x86_64.whl (55kB)\n",
            "\u001b[K     |████████████████████████████████| 61kB 25.7MB/s \n",
            "\u001b[?25hRequirement already satisfied: cffi!=1.11.3,>=1.8 in /usr/local/lib/python3.6/dist-packages (from cryptography>=1.5->paramiko) (1.12.3)\n",
            "Collecting asn1crypto>=0.21.0 (from cryptography>=1.5->paramiko)\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/ea/cd/35485615f45f30a510576f1a56d1e0a7ad7bd8ab5ed7cdc600ef7cd06222/asn1crypto-0.24.0-py2.py3-none-any.whl (101kB)\n",
            "\u001b[K     |████████████████████████████████| 102kB 32.4MB/s \n",
            "\u001b[?25hRequirement already satisfied: six>=1.4.1 in /usr/local/lib/python3.6/dist-packages (from cryptography>=1.5->paramiko) (1.12.0)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.6/dist-packages (from cffi!=1.11.3,>=1.8->cryptography>=1.5->paramiko) (2.19)\n",
            "Installing collected packages: asn1crypto, cryptography, pynacl, bcrypt, paramiko\n",
            "Successfully installed asn1crypto-0.24.0 bcrypt-3.1.6 cryptography-2.6.1 paramiko-2.4.2 pynacl-1.3.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "B4Xg2PP7hkge",
        "colab_type": "code",
        "outputId": "bca31161-c4ae-4750-f6b5-f1e7e8d9d306",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "review_show('leapfrog','It would be nice to have some place to keep our bags or stuffs... i.e. locker or something like that')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: It would be nice to have some place to keep our bags or stuffs... i.e. locker or something like that\n",
            "Sentiment class: positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W0gl-1R0jyHU",
        "colab_type": "code",
        "outputId": "f80d2105-b41c-4e62-8c14-86eb1d066f3d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        }
      },
      "source": [
        "review_show('leapfrog','Leapfrog has a friendly environment. Its a good place to grow.')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Text: Leapfrog has a friendly environment. Its a good place to grow.\n",
            "Sentiment class: extremly positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BPzqfPHfklcV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "review = 'Good working environment. Nice culture. Space to grow. I like the company overall, it is cool place to work, having lots of project i think i will have a pace growth I like Leapfrog believe on freedom, responsibility, flexibility. Since thi is for training the data i would like to give conflicting feedback so that the model can be trained better. I like it here, but it could definitely have been better. It is amazing, buuuuutttttt is it?????? LF really gives individuals the flexibility to try things they like, and that works well when it comes to experimental projects and research. What kind of feedback am i suppose to give.I mean feedback for any particular topic or random overall feedback, Overall I suppose it good to be here. Cool and great place to work. Fresher paradise. Its disrespect. So far so good, feels quite disturbed to do work sometimes. Everyone is very helpful. keep my data safe :D Great working environment, great people Leapfrog is a great platform for young engineers to get real time experiences with startups in the valley and take a leap forward after their university degree like no other. The AIPP program helps take AI enthusiasts take a step forward in realizing their dream. Its fun here. Leapfrog has great learning and working environment.It has an open culture and people are very helpful Please improve the food quality. I am satisfied with my colleagues and but feel something lagging in work culture or Its feels like there is not enough professionalism,but at the end of the tunnel,I see much jolly workspace and work become fun when there is a Sameer dai in front of our desk. I enjoy the culture of Leapfrog. A learning, fun experience filled fruitful year. I wish to contribute more and grow along with the company. I am very happy to be part of this team. I am current feeling good with the working environment where anyone can ask question to anyone and every one is happy to help each other. But the lunch provided by leapfrog is some what no good, especially burger :P and chicken chilly. It would be nice to have some place to keep our bags or stuffs... i.e. locker or something like that Leapfrog has a friendly environment. Its a good place to grow. Everything here is good people are motivating and growth loving. if i have to give a suggestion for this company please put milk and coffee making machine. Thank you Snacks are dull more often than not. Working environment is friendly and great opportunity to learn.'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MrbwsNNBlc_o",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def summerizer_overall(file, ratio = 0.1, col=None, attribute=None,review='review'):\n",
        "  if col is None:\n",
        "    if attribute is not None:\n",
        "      raise ValueError(\"With attribute column name is required. Please provide 'col' parameter\")\n",
        "  else:\n",
        "    if col not in file.columns:\n",
        "      raise ValueError('Given column is not in present.')\n",
        "    \n",
        "    if attribute is None:\n",
        "      text = list(file[col])\n",
        "      summary = ' '.join([item for item in list(file[review]) if isinstance(item, str)] )\n",
        "      return summary\n",
        "    \n",
        "    elif attribute not in list(file[col].unique()):\n",
        "      raise ValueError('Given attribute is not present in ',col)\n",
        "    \n",
        "    else:\n",
        "      rev = ' '.join([item for item in list(file[file[col]==attribute][review]) if isinstance(item, str)] )\n",
        "      return summarize(rev,ratio)\n",
        "      \n",
        "      "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hesOWA5B4n6E",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def visualize_overall(file, ratio = 0.1, col=None, attribute=None,review='review'):\n",
        "  f, axes = plt.subplots(1, 2)\n",
        "  fig.tight_layout()\n",
        "  if col is None:\n",
        "    if attribute is not None:\n",
        "      raise ValueError(\"With attribute column name is required. Please provide 'col' parameter\")\n",
        "  else:\n",
        "    if col not in file.columns:\n",
        "      raise ValueError('Given column is not in present.')\n",
        "    \n",
        "    if attribute is None:\n",
        "      text = list(file[col])\n",
        "      sns.distplot(leap_data['positivity'],kde=True,color='green',rug=True,ax=axes[0])\n",
        "      sns.distplot(leap_data['negativity'],kde=True,color='cyan',ax=axes[1])\n",
        "      \n",
        "    \n",
        "    elif attribute not in list(file[col].unique()):\n",
        "      raise ValueError('Given attribute is not present in ',col)\n",
        "    \n",
        "    else:\n",
        "      sns.distplot(leap_data[leap_data[col]==attribute]['positivity'],kde=True,color='green',rug=True,ax=axes[0])\n",
        "      sns.distplot(leap_data[leap_data[col]==attribute]['negativity'],kde=True,color='cyan',ax=axes[1])"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VhB6M8EV_u4c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ksLOr72m53sV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KHDvIEtS1aZ1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def check_string(x):\n",
        "  abc = len(x.split())\n",
        "  if abc<3:\n",
        "    return False\n",
        "  else:\n",
        "    return True\n",
        "# leap_data = leap_data[ leap_data['Write your feedback to Leapfrog.'].apply(check_string)]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wfWBOSEz5EdL",
        "colab_type": "code",
        "outputId": "f7f19132-c102-47e5-bd10-9ee460e33556",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 306
        }
      },
      "source": [
        "overall_company_review('leapfrog')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "overall opinion of employee for leapfrog is positive 0.7528850989682334  negative 0.24711487971113197\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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BD8ktwGVVVUkCzFTV25ZVuXr1/XntHzII4oeq6vglvMYrGLwzPLGq/jfJnQyCeFFVdU+S\nB5L8MvDbDEb8MPjl8PKq8t5PS+AIfTKemeTk1v4dYBZYn+So1vcq4F+SPBl4ag0u4HoTcNwCr/Ud\n4CmLHOcyBrc0PotBuMPgbfTpSZ4GkOSQJCPd+EePK98GvpHktwAysPv8+xLw8tY+c94+TwV2tTB/\nIY/eUOonnaMAlwBvZXCuX9/6PgO8oQ1ASHLCSv9BjwcG+mTcCrwuyU7gYOB9wGsYvL29AfgR8EEG\nPwRXtrewXwDevMBrfQT44O4/is5fUVUPAjuBZ1XVNa3vZgZz9p9tr7uNR99KS/O9AjgnyVeBm3j0\n+w7OBd7czp+jGEwNAlwETLdz+GwG7wypqgeALya5cf4f6ufZyuAXw6Xz+v4c2B+4PslNbVlD+LHF\nvcyPcOmxLsmTgP9uU3hnMvgDqZ9C2Qc4hy5pqU4EPtCmQx4CfnfC9ahxhC5JnXAOXZI6YaBLUicM\ndEnqhIEuSZ0w0CWpEwa6JHXi/wAAOxs6PmcbkwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dix-QEau692z",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def show_summary(file, ratio = 0.1, col=None, attribute=None,review='review'):\n",
        "  summary = summerizer_overall(file,ratio,col,attribute,review)\n",
        "  if len(summary.split()) < 3:\n",
        "    print('Too less data to summerize. Tips: Try increasing ratio value.')\n",
        "  else:\n",
        "    print(summary)\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JnBcoD6RDy7D",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "%matplotlib inline"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7wUEeDpw-AOY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# col = 'Department'\n",
        "# for index,section in enumerate(leap_data[col].unique()):\n",
        "#   text = ' '.join(list(leap_data[leap_data[col]==section]['Write your feedback to Leapfrog.']))\n",
        "#   result = prediction_result(text)\n",
        "#   ax = plt.subplot(1, len(leap_data[col].unique()), index+1)\n",
        "#   ax.bar(['negative','Positive'], result[1])\n",
        "#   ax.set_xlabel(section)\n",
        "\n",
        "  \n",
        "  "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "oTl7R5YuGwPp",
        "colab_type": "text"
      },
      "source": [
        "# ***Data visualization***"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dXeh42ThdSjk",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "%matplotlib inline\n",
        "leap_data = pd.read_csv('./gdrive/My Drive/dataset_csv/feedback_leap.csv')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GlWb_Cuwe2po",
        "colab_type": "code",
        "outputId": "d01f2dc2-600b-4115-c177-7a27277a549f",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 578
        }
      },
      "source": [
        "leap_data.head(5)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Timestamp</th>\n",
              "      <th>Gender</th>\n",
              "      <th>Age</th>\n",
              "      <th>How long have you been working at leapfrog ?</th>\n",
              "      <th>Department</th>\n",
              "      <th>Write your feedback to Leapfrog.</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2019/04/25 10:29:13 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>21</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>Good working environment. Nice culture. Space ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2019/04/25 10:30:38 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>22</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>I like the company overall, it is cool place t...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2019/04/25 10:33:34 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>30</td>\n",
              "      <td>5 years</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>I like Leapfrog believe on freedom, responsibi...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2019/04/25 10:38:06 AM GMT+5:45</td>\n",
              "      <td>Female</td>\n",
              "      <td>23</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>Since this is for training the data i would li...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2019/04/25 10:53:15 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>24</td>\n",
              "      <td>1 years</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>LF really gives individuals the flexibility to...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                         Timestamp  Gender  Age  \\\n",
              "0  2019/04/25 10:29:13 AM GMT+5:45    Male   21   \n",
              "1  2019/04/25 10:30:38 AM GMT+5:45    Male   22   \n",
              "2  2019/04/25 10:33:34 AM GMT+5:45    Male   30   \n",
              "3  2019/04/25 10:38:06 AM GMT+5:45  Female   23   \n",
              "4  2019/04/25 10:53:15 AM GMT+5:45    Male   24   \n",
              "\n",
              "  How long have you been working at leapfrog ?   Department  \\\n",
              "0                             less than a year  Engineering   \n",
              "1                             less than a year  Engineering   \n",
              "2                                      5 years  Engineering   \n",
              "3                             less than a year  Engineering   \n",
              "4                                      1 years  Engineering   \n",
              "\n",
              "                    Write your feedback to Leapfrog.  \n",
              "0  Good working environment. Nice culture. Space ...  \n",
              "1  I like the company overall, it is cool place t...  \n",
              "2  I like Leapfrog believe on freedom, responsibi...  \n",
              "3  Since this is for training the data i would li...  \n",
              "4  LF really gives individuals the flexibility to...  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NGjken_pe5CH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "leap_data.rename(columns={'Timestamp':'time','Gender':'gender','Age':'age','How long have you been working at leapfrog ?':'work_time','Department':'department','Write your feedback to Leapfrog.':'review'},inplace=True)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UzzUo8ecf28q",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# from itertools import izip\n",
        "def polarity(x):\n",
        "  return (prediction_result_polarity(x))\n",
        "leap_data['negativity'],leap_data['positivity'] = zip(*leap_data['review'].apply(polarity))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1R1-EqANc_uH",
        "colab_type": "code",
        "outputId": "668e2028-847a-4870-d753-7dd6695969bd",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 267
        }
      },
      "source": [
        "leap_data.head(2)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>time</th>\n",
              "      <th>gender</th>\n",
              "      <th>age</th>\n",
              "      <th>work_time</th>\n",
              "      <th>department</th>\n",
              "      <th>review</th>\n",
              "      <th>negativity</th>\n",
              "      <th>positivity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2019/04/25 10:29:13 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>21</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>Good working environment. Nice culture. Space ...</td>\n",
              "      <td>0.003150</td>\n",
              "      <td>0.996850</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2019/04/25 10:30:38 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>22</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>I like the company overall, it is cool place t...</td>\n",
              "      <td>0.037897</td>\n",
              "      <td>0.962103</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                              time gender  age         work_time   department  \\\n",
              "0  2019/04/25 10:29:13 AM GMT+5:45   Male   21  less than a year  Engineering   \n",
              "1  2019/04/25 10:30:38 AM GMT+5:45   Male   22  less than a year  Engineering   \n",
              "\n",
              "                                              review  negativity  positivity  \n",
              "0  Good working environment. Nice culture. Space ...    0.003150    0.996850  \n",
              "1  I like the company overall, it is cool place t...    0.037897    0.962103  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9Pkun1Qejc8K",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import seaborn as sns\n",
        "from textblob import TextBlob\n",
        "import spacy\n",
        "spacy.load('en_core_web_sm')\n",
        "from spacy.lang.en import English"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bUiSzi9kgSSY",
        "colab_type": "code",
        "outputId": "32c2fb15-f01d-4e22-ce4f-c0ff62edac8c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        }
      },
      "source": [
        "sns.distplot(leap_data['positivity'],kde=True,color='green',rug=True)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fba516537b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 35
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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D2HV4F9PXT/c7SoGm3yqRPLR211q6TehGXGwck/tOJjY61u9I+U6XOl2oXLKyds3kkspd\nJI8k7k/kinevoIgVYcaNM6hSuorfkfKlE+e8r5+mcd5zIcvL7IkURmMWjQnr6+1O3s0L817gQMoB\n/nLBX5i9aTazN80O6zKCZECLATw37zkmLp/I8HbD/Y5TIGnLXSTCkg4n8fy85zmYcpB7zr+H6mWr\n+x0p32tyVhPaVGmjc95zQeUuEkHbDmzjuXnPcTj1MPe0u0fnsufAgOYDWLp9KT9t/8nvKAWSyl0k\nQjbs3sAz3z/DsfRjjGg3gprlavodqUDp26Qv0UWiGf/TeL+jFEgqd5EIWLBlAaPmj6JUsVI8eNGD\n2hVzBirGVuTq+lfz7rJ3SU1L9TtOgaNyFwmjdJfOx6s/5o0lb1CjXA0euPAB4mLj/I5VYA1sMZCd\nh3fyWcJnfkcpcFTuImGy/+h+Rv84ms83fE6H6h0Y0W4EpWNK+x2rQOtyrs55P1M6FVIkDNbsWsPY\nJWNJTk2mf9P+XFzjYr8jBUJ0VDT9m/Zn9I+j2XV4l/4XlAPachfJheTUZCYun8io+aOIjY7lofYP\nqdjDbECLAaSmp/Le8vf8jlKgaMtd5Awt37GcCcsnsPfIXi6rdRk96vcgpmiM37ECp1nlZrSKb8W4\nn8Zx9/l3+x2nwNCWu0gOHUw5yNglY3l5wcsUL1qcBy56gBsa36Bij6CBzQeyeNtinfOeA9pyLyTC\n/XH6cBncerDfEbItNS2Vrzd/zfT10zly7Ajd63ana52uREdF+x0t8Po17cf9X97PG4vfYPSVo/2O\nUyCo3EWy4Jxj8bbFTFoziV2Hd9GoUiN6NexF1TJV/Y5WaFSMrUivRr14Z9k7PH350xpNMxtU7iJ/\nIGF3ApNWT2LDng1UKV2FP5/3Zxqf1djvWIXS4NaDmbB8Av9e+W8GtBjgd5x8T+Uukol1SeuYum4q\na5PWUiamDDc1u4kLq12oC2v4qEP1DtSvWJ8xi8eo3LNB5S7icc4x6+dZPP7t43y7+VvKxJTh+kbX\nc3GNiykWVczveIWemTG49WD+MuMvrPhtBU3OauJ3pHxNmyFS6KWmpTJx+UTa/qstnd/pTMLuBHo3\n7s2Tlz5J59qdVez5yM3Nb6ZYVLF8e4JAfqJyl0JrT/Ienpn7DLVfqk3/Sf05mHKQ1/70Ghv+vIFL\na12qUs+H4mLjuL7R9Yz/aTwHUw76HSdfy1a5m1lXM1trZglmNjKTxwea2U4zW+p93Rb+qCK555xj\n4daF3D75dqqNqsaDXz1IvYr1mNp3KquGrWJImyEUL1rc75jyB4a1Hcb+o/t5d9m7fkfJ17Lc525m\nUcArwOVAIrDAzCY751adMusHzrm7IpBRJNcOHD3AxOUTeX3R6yzZvoTY6Fj6NO7D3effTYuzW/gd\nT3Kg3TntaBXfilcWvMKQ1kMwM78j5UvZOaB6HpDgnNsIYGbvAz2AU8tdJF9JTUvliw1fMGH5BD5d\n8ynJx5JpVrkZr1z5Cv2b9qds8bJ+R5QzYGYMazuMQZMHMeeXORrL5zSyU+5VgV8z3E4Ezs9kvuvM\n7GJgHTDCOffrqTOY2WBgMED16rp4gYRfaloqc3+dy4crP+TDlR+SlJxEhRIVGNB8AANaDOD8qudr\nSy8A+jTpw30z7uPlH19WuZ9GuE6FnAK855w7amZDgPHApafO5JwbA4wBaNOmjQvTsqWQ25O8h88T\nPmfKuil8lvAZe4/spUTREvRo0IP+TftzxblX6OBowMRGxzKo5SBGzR/Fr/t+pVrZan5HyneyU+5b\ngIxr7hzvvhOcc0kZbr4BPJP7aCKZ2528m+9++Y45m+cw55c5LNy6kDSXRqXYSlzT4BquqncVV5x7\nBaWKlfI7qkTQXefdxaj5oxj942ieuVyVc6rslPsCoK6Z1SJU6n2AfhlnMLN459w27+bVwOqwppRC\nyTnH9oPbWbZjGct/W86yHctYvG0xK3euBKBYVDHaVmnLyPYj6V6vO22rtCWqSJTPqSWv1ChXg16N\nejFm0Rj+evFfddWrU2RZ7s65Y2Z2F/AFEAW86ZxbaWaPAwudc5OBP5vZ1cAxYDcwMIKZpYBLd+kk\npyZzOPUwi7ctZk/yHvYc2cOW/VvYvG8zm/ZuOvF9d/LuE8+rWroqzSo3o2+TvnSo0YHzqp6n0xYL\nuXsvuJcPVn7Am0veZHi74X7HyVfMOX92fbdp08YtXLjQl2UXRpH6RF+6S2dP8h72Ht3LwZSDHEo5\nxMGUgyemDx87zOHUk7+SU5NxZP57FxsdS42yNahRrgY1ytagUaVGNKvcjKZnNaVibMWI/AyZ0Scg\ns8/vYZs7vNWBxP2JJNydUCj+52Zmi5xzbbKaT2PLSLakpqWSuD+RTXs3kXggkaTDSew8vJPdybtJ\nd+m/mz/KoihZrCQlo0sSGx1L2ZiyxJeKp0R0iRP3xUbH0rNBT8qXKE/54uWJLx1PxRIVdTaL5Mi9\n7e7l2g+vZdLqSVzf+Hq/4+QbKnfJVHJqMmuT1rJ652p+3vszifsTSXNpAJSMLkmlkpWoWa4mbeLb\nUDG2IuWLl6d0TGlKFStFqWKliImKyVZJ92jQI9I/igTc1fWvpn7F+vzvd/9Lr0a9tHHgUbnLCYdS\nDrFk+xIWbl3I2qS1pLt0YqJiqFmuJp1rd6ZmuZrULFeT8sXL6x+Q5BtRRaIY2X4kt3x6C9PXT+dP\n9f7kd6R8QeVeyKW7dNbsWsN3v3zH0u1LT5xS2LlWZ5qc1YRzK5xL0SL6NZH8rX/T/jz29WP8fc7f\nubLuldr4QOVeaKWkpTA/cT5fbfyKHYd2UDK6JJfUvIQLzrmAamWq6R+HFCjRUdE8eNGD3Dn9TmZv\nms2ltX73GcpCR+VeyBxLP8Z3v3zHtPXT2H90P9XLVufWFrfSKr6VLvQsBdotLW/hiW+f4Ilvn6BT\nzU6FfgNF5V5IpLt0FmxZwOR1k9l1eBd1K9Tltpa3Ua9iPV//EeiUQwmX4kWLM7L9SIZ/PpyZP8+k\nc+3Ofkfylcq9EPhyw5c8+e2TJB5IpFqZatx93t00rtS40G/ZSPAMaT2E5+c9z8MzH+ayWpcV6t9x\nXYkpwLYf3E6///Tjinev4EjaEW5reRsPd3iYJmc1KdS/9BJcMUVjeOySx1iwdQGfrPnE7zi+0pZ7\nAKW7dP616F+MnDmSw6mHefSSR6kUW0n71KVQuKn5TTzz/TP8v9n/j6vrX10oPrWaGW25B8yaXWto\n/2Z7hk4bSouzW7Bs6DIe6/iYil0KjaJFivL3Tn9n1c5VvLnkTb/j+EblHhDOOV5f+DqtXm/FuqR1\njL9mPLNunkX9uPp+RxPJc9c2vJYO1Tvw8KyH2Xtkr99xfKFyD4Bdh3fR84OeDJ02lPbV27P8juXc\n3Pxm7VeXQsvMeLHriyQdTuLxbx73O44vVO4F3Fcbv6LZq834LOEznr/ieT6/8XPiS8f7HUvEdy3j\nW3J7q9sZ/eNoVu8sfJeYULkXUEePHeW+Gfdx+TuXU7Z4WX647QfuveBeipjeUpHj/n7p3ykZXZJh\n04fh1/DmflETFEBrdq3hgrEX8Py85xnaeiiLBi+ixdkt/I4lku9UKlmJZy9/ltmbZjN2yVi/4+Qp\nlXsBkvGg6S/7fuGT3p/wavdXiY2O9TuaSL51W6vb6FSzE/fNuI+tB7b6HSfPqNwLiKTDSVz74bUn\nHTTVWOgiWTMzxlw1hqNpR7lz2p2FZveMyr0AmLlxJs1ea8a0ddN00FTkDNSpUIcnL32ST9d+yhuL\n3/A7Tp5QuedjKWkpPPDlA1z+zuWUiSmjg6YiuXBPu3u4vPblDP98OKt2rvI7TsSpJfKptbvW0u6N\ndjz7/bMMbj2YRYMX0TK+pd+xRAqsIlaEt3u+TemY0vT+qDfJqcl+R4oolXs+k+7SefnHl2n5essT\nB01f6/6aDpqKhMHZpc7m7WveZsVvKxg8dXCg97+r3PORLfu30PXdrtz92d10rNmRZXcs00FTkTDr\nUqcLT3R6gneXvcvTc5/2O07EaFTIfOK95e9x5/Q7SUlL4dU/vcqQ1kM0fIBIhDzS4RFW7VzFwzMf\npkFcA65pcI3fkcJOW+4+23pgK70+7EW/Sf1oENeApUOWMrTNUBW7SASZGWOvHkvbqm3p+5++fL3p\na78jhZ3K3Sdp6Wm88uMrNHi5AdPWT+Mfl/2DObfMoW7Fun5HEykUSkSXYFq/aZxb/ly6T+zOvF/n\n+R0prFTuPli2YxkXvXkRd312F+efcz7L71jOyPYjKVpEe8lE8lJcbBxf3vQl8aXj6TahG3N/met3\npLBRueehXYd3Mfyz4bQe05oNezbwTs93mHHjDOpUqON3NJFCK750PDNvnknlUpXp/E7nwFyeT+We\nB5JTk/nHnH9w7kvn8vKCl7m1xa2sGbaGG5vdmGf71qesnfKH95/6Pa+Wn9N5cjJfuJ/73PfPnfFr\nTFk75YyfdyZy8n5mNc+UtVN46KuHTvwMz33/3Il18dz3z1HuqXJnlDE/qV62Ot/d8h3NKjfjug+v\n48X5Lxb40yRV7hGUmpbKW0veot7L9Xh41sN0rNmRFXes4PWrXqdibMU8zTJ1/dQ/vP/U73m1/JzO\nk5P5wv3c9bvXn/FrTF0/9YyfdyZy8n5mNc/U9VPZfWT3iZ9h/e71J9bF+t3r2Xd03xllzG8qlazE\nrJtncVW9q7jni3vo/VFv9h/d73esM6Zyj4CDKQf5v/n/R53Rdbh18q1UKV2FbwZ+w6d9PqVhpYZ+\nxxOR0yhZrCSTek/i6c5PM2n1JFq93opvNn3jd6wzonIPo+0Ht/PwzIepNqoaI74YQY2yNZjcZzLz\nB83n4hoX+x1PRLKhiBXhgYseYPaA2TgcHcd3ZMiUISQdTvI7Wo7o9IxcOnLsCFPXTeXtn97ms4TP\nSEtPo2fDntx/4f20O6ed3/FE5Ax1qNGB5Xcs59HZj/LC/Bf4YOUHPHDRAww/fzgli5X0O16WVO5n\nICUthe9//Z73V7zPBys/YO+RvcSXimdEuxHc3up2nasuEhCx0bE8e8WzDGwxkIdnPcwjsx5h1PxR\nDG09lDvb3pmvh95WuWfT5r2b+Tzhcz7f8DkzN87kQMoBYqNjubbhtdzU7CYuq3UZUUWi/I4pIhHQ\n+KzGfNrnU77/9XuemfsMT855kqfmPkW3Ot24sdmNdK/XPd8N7petcjezrsCLQBTwhnPuqVMejwHe\nBloDSUBv59ym8EbNO/uP7mfR1kUs2Log9LVlAZv3bQZCp0z1a9qPrnW6clmtyygdU9rntCKSVy6s\ndiGf9PmEhN0JvL7wdSaumMiUdVOIiYqhU61OdDm3C+2rt6fF2S18/1Bilks3syjgFeByIBFYYGaT\nnXMZR7sfBOxxztUxsz7A00DvSAQOh+TUZHYc2sH2g9vZdmAbCbsTSNidcOIUr8T9iSfmrV2+Nu3O\nacc97e6ha52u1K9YX+O+iBRydSrU4dkrnuWpzk/x7eZvmbJuCtPWT2PEFyOA0O6chnENaVipIQ3j\nGtIgrgH1K9bnnDLnUCamTJ50SHb+tJwHJDjnNgKY2ftADyBjufcAHvOmPwJeNjNzEfgUwDebvuHR\nrx+lRHQJihctTomioe/FooqRlp5GuksnnXTS0tM4mnaUA0cPcDDlIAdSDnDg6AF2Ht6Z6bmrcbFx\n1K1Ql0trXUq9CvVoU6UNbaq0yfPz0UWk4IgqEkWnWp3oVKsTL3R5gcT9icz9ZS7zE+ezcudKvtn0\nDe8ue/ek58RGx/LgRQ/yt0v+FtFs2Sn3qsCvGW4nAuefbh7n3DEz2wdUBHaFI2RG6S4dgN3Juzly\n7AjJqckkH0smNS2VIlaEqCJRFLEiFLEixETFUDqmNKWKlaJamWqUjilNXIk4KpeqzNmlzqZyydD3\n2uVrU75E+XBHFZFC5pwy59C7SW96N/nvjosDRw+wNmkt65PWs/XAVrYc2ELzys0jnsWy2rg2s15A\nV+fcbd7tm4DznXN3ZZhnhTdPond7gzfPrlNeazAw2LtZH1h7hrnjiMAfjjBQrpxRrpxRrpwJaq4a\nzrlKWc2UnS33LUC1DLfP8e7LbJ5EMysKlCV0YPUkzrkxwJhsLPMPmdlC51yb3L5OuClXzihXzihX\nzhT2XNn5hOoCoK6Z1TKzYkAfYPIp80wGBnjTvYBZkdjfLiIi2ZPllru3D/0u4AtCp0K+6ZxbaWaP\nAwudc5OBscA7ZpYA7Cb0B0AqohSlAAAIS0lEQVRERHySrRMxnXPTgemn3Pe3DNNHgOvDG+0P5XrX\nToQoV84oV84oV84U6lxZHlAVEZGCR6NCiogEUL4sdzOrYGZfmtl673umJ6GbWZqZLfW+Jme4v5aZ\n/WBmCWb2gXcgOE9ymVkLM5tnZivNbJmZ9c7w2Dgz+zlD5ha5zNPVzNZ6P+fITB6P8X7+BG991Mzw\n2EPe/WvNrEtucpxBrnvNbJW3fmaaWY0Mj2X6nuZhtoFmtjNDhtsyPDbAe+/Xm9mAU58b4VyjMmRa\nZ2Z7MzwWkXVmZm+a2W/eqc6ZPW5m9pKXeZmZtcrwWCTXVVa5+nt5lpvZ92bWPMNjm7z7l5rZwjzO\n1dHM9mV4r/6W4bE/fP/PiHMu330BzwAjvemRwNOnme/gae7/EOjjTb8G3JFXuYB6QF1vugqwDSjn\n3R4H9ApTlihgA1AbKAb8BDQ6ZZ47gde86T7AB950I2/+GKCW9zpReZirExDrTd9xPNcfvad5mG0g\n8HImz60AbPS+l/emy+dVrlPmv5vQiQ0RXWfAxUArYMVpHr8S+AwwoB3wQ6TXVTZzXXh8eUC347m8\n25uAOJ/WV0dgam7f/+x+5cstd0LDGYz3pscD12T3iWZmwKWEhkHI8fNzm8s5t845t96b3gr8BmT5\ngYMzcGJYCOdcCnB8WIjT5f0IuMxbPz2A951zR51zPwMJ3uvlSS7n3Gzn3GHv5nxCn53IC9lZZ6fT\nBfjSObfbObcH+BLo6lOuvsB7YVr2aTnnviV09tvp9ADediHzgXJmFk9k11WWuZxz33vLhTz8/crG\n+jqd3PxenlZ+LffKzrlt3vR2oPJp5ituZgvNbL6ZHS/aisBe59wx73YioeER8jIXAGZ2HqG/xBsy\n3P2k91/GURYaTfNMZTYsxKk/50nDQgDHh4XIznMjmSujQYS2/o7L7D0Nl+xmu857jz4ys+Mf4MsX\n68zbhVULmJXh7kiusz9yutyRXFc5dervlwNmmNkiC31iPq9dYGY/mdlnZtbYuy8i68u3MSnN7Cvg\n7EweeiTjDeecM7PTndJTwzm3xcxqA7PMbDmhAvM7F94WzDvAAOe8AXHgIUJ/FIoROh3qQeDx3OQt\nyMzsRqANcEmGu3/3njrnNmT+ChExBXjPOXfUzIYQ+p/PpXm4/Kz0AT5yzqVluM/vdZYvmVknQuXe\nPsPd7b11dRbwpZmt8ba488JiQu/VQTO7EvgEiNiVfXzbcnfOdXbONcnk61Ngh1eOx0vyt9O8xhbv\n+0bga6AloWEPylloGATIfLiEiOYyszLANOAR77+rx197m/df2KPAW+RuV0hOhoXATh4WIjvPjWQu\nzKwzoT+YV3vrAzjtexouWWZzziVlyPMGoWsUZOu5kcyVQR9O2SUT4XX2R06XO5LrKlvMrBmh96+H\nc+7EUCgZ1tVvwMeEb3dklpxz+51zB73p6UC0mcURqfWV2532kfgCnuXkA5fPZDJPeSDGm44D1uMd\nhAD+zckHVO/Mw1zFgJnAPZk8Fu99N+D/gKdykaUooQNVtfjvQZjGp8wzjJMPqH7oTTfm5AOqGwnf\nAdXs5GpJaFdV3ey+p3mYLT7DdE9gvjddAfjZy1jem66QV7m8+RoQOiBoebjOanL6A4R/4uQDqj9G\nel1lM1d1QseRLjzl/pJA6QzT3xMa8DCvcp19/L0j9EflF2/dZev9z3GWcP5gYVxBFQkV5Hrgq+O/\nGIT+C/+GN30hsNxbEcuBQRmeXxv40XuD/338lz+Pct0IpAJLM3y18B6b5WVdAbwLlMplniuBdYSK\n8hHvvscJbQ0DFPd+/gRvfdTO8NxHvOetBbqF+f3LKtdXwI4M62dyVu9pHmb7B7DSyzAbaJDhubd6\n6zIBuCUvc3m3H+OUDYJIrjNC/0PY5v0+JxLaxTEUGOo9boQu5LPBW3abPFpXWeV6A9iT4fdroXd/\nbW89/eS9x4/kca67MvxuzSfDH5/M3v/cfukTqiIiAZRfz5YREZFcULmLiASQyl1EJIBU7iIiAaRy\nFxEJIJW7FHpmNtTMbvamB5pZlQyPvWFmjbJ4/vfe95pm1i+yaUWyR6dCimRgZl8D9znncjwcrJl1\n9J7bPdy5RHJKW+5SoHlby2vMbIKZrfYG+4o1s8vMbIk3dvebxwdpM7On7L9jyT/n3feYmd1nZr0I\nfSBtgjfedgkz+9rM2nhb989mWO5AM3vZmz7o3f0U0MF77ggz+9YyjNlvZt9lHFtcJJJU7hIE9YF/\nOucaAvuBewmNnd/bOdeU0Me77zCzioSGFGjsnGsG/D3jizjnPgIWAv2dcy2cc8kZHv6P99zjehMa\nmjWjkcAc77mjCF04fiCAmdUDijvnfgrDzyuSJZW7BMGvzrm53vS7wGXAz865dd594wldSGEfcAQY\na2bXAod/90qn4ZzbCWw0s3beH4kGwNwsnvZvoLuZRRP6OP647C5PJLdU7hIEpx442pvpTKEx7c8j\ndOGS7sDnOVzO+8ANwHXAxy6LA1YudEGSLwldeOEGYEIOlydyxlTuEgTVzewCb7ofoV0rNc2sjnff\nTcA3ZlYKKOtCw62OADLb/30AKH2a5XxMqKj78vtdMqd77hvAS8AC99+rA4lEnMpdgmAtMMzMVhMa\nYnYUcAvwb+8CLumEhn4uDUw1s2XAd4T2zZ9qHPDa8QOqGR/wynk1oQsu/JjJc5cBad6VdkZ4z1lE\n6DjAW7n/MUWyT6dCSoFmZjUJXXS4ic9RMuWdM/81oaGD07OYXSRstOUuEiHeB6N+IDQ+t4pd8pS2\n3EVEAkhb7iIiAaRyFxEJIJW7iEgAqdxFRAJI5S4iEkAqdxGRAPr/RmqFuXQKxVkAAAAASUVORK5C\nYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U9zDbpk14YKI",
        "colab_type": "code",
        "outputId": "126075b5-e053-40af-bb50-d293bb338aed",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 301
        }
      },
      "source": [
        "sns.distplot(leap_data['negativity'],kde=True,color='cyan')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1a627c7198>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 103
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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2/3Q6nAxU83gRvxBmZ3/LM4kmjqOBo7PnjZjM57ls3601Olbl4ppAVOJt/9tq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\nEUmQkruISIKU3EVEEvT/XcXXmrQzPg0AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KjeD9tMMNa32",
        "colab_type": "code",
        "outputId": "2fac8f24-ac1e-4781-d273-8e2012fa300d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 307
        }
      },
      "source": [
        "overall_company_review('leapfrog')"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "overall opinion of employee for leapfrog is positive 0.7714083880186081  negative 0.2285915870917961\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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s+Tn5CHBst7weeBWwCTiy6/td4Atd+yrg7K79OuDhrr0MeHrXPhjYBqR7/Vt2O94tXfvN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\ngg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "w5BAI3YbOz8_",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "y_m8HURUhj0h",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from wordcloud import WordCloud, STOPWORDS\n",
        "text = list(leap_data['review'])\n",
        "text = ''.join(text)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mq0eZ4uCtD8n",
        "colab_type": "code",
        "outputId": "d88a4232-0191-4078-cf29-572b079fa54d",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        }
      },
      "source": [
        "stopwords = set(STOPWORDS)\n",
        "stopwords.update(['Leapfrog','feedback','sometime','something'])\n",
        "wordcloud = WordCloud(width=700,height=500,stopwords=stopwords,max_font_size=70, max_words=100, background_color=\"white\",).generate(text)\n",
        "plt.figure()\n",
        "plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
        "plt.axis(\"off\")\n",
        "plt.show()"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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KMDIww867m7n7Iy0A/OvfvsbPnjrNjv3NON3W99zX5RgcC/PgnmYeuWsNT/2slR+/fIb6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LIouBGAaX2EtxOv4ZLcrAw/cEuhiN0HLrDvaC+feWIjhmnxN9/ZT0dLqSVX/9A0ocBVx2BsIk0q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\nOv01BNVCXHtT27klufVNH3vbLSJLUcrWKI5b5E1mLl8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lYM/jl4OE1Qvf3XEd8tYctmsS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\nTy8MDVkAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "d2ptu5QrzwQY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "col = ['gender','age','work_time','department']\n",
        "val = [list(leap_data[item].unique()) for item in col]\n",
        "val = [item + [None] for item in val]\n",
        "# for item in val:\n",
        "#   new_val.append(item)\n",
        "geo2 = dict(zip(col, val))\n",
        "# val"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "twjRsIGKzahY",
        "colab_type": "code",
        "outputId": "b6b360dc-c5ec-40b0-fdb2-961bcf8efb29",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/colabwidgets/controls.css": {
              "data": "/* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /* We import all of these together in a single css file because the Webpack
loader sees only one file at a time. This allows postcss to see the variable
definitions when they are used. */

 /*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

 /*
This file is copied from the JupyterLab project to define default styling for
when the widget styling is compiled down to eliminate CSS variables. We make one
change - we comment out the font import below.
*/

 /**
 * The material design colors are adapted from google-material-color v1.2.6
 * https://github.com/danlevan/google-material-color
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/dist/palette.var.css
 *
 * The license for the material design color CSS variables is as follows (see
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/LICENSE)
 *
 * The MIT License (MIT)
 *
 * Copyright (c) 2014 Dan Le Van
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

 /*
The following CSS variables define the main, public API for styling JupyterLab.
These variables should be used by all plugins wherever possible. In other
words, plugins should not define custom colors, sizes, etc unless absolutely
necessary. This enables users to change the visual theme of JupyterLab
by changing these variables.

Many variables appear in an ordered sequence (0,1,2,3). These sequences
are designed to work well together, so for example, `--jp-border-color1` should
be used with `--jp-layout-color1`. The numbers have the following meanings:

* 0: super-primary, reserved for special emphasis
* 1: primary, most important under normal situations
* 2: secondary, next most important under normal situations
* 3: tertiary, next most important under normal situations

Throughout JupyterLab, we are mostly following principles from Google's
Material Design when selecting colors. We are not, however, following
all of MD as it is not optimized for dense, information rich UIs.
*/

 /*
 * Optional monospace font for input/output prompt.
 */

 /* Commented out in ipywidgets since we don't need it. */

 /* @import url('https://fonts.googleapis.com/css?family=Roboto+Mono'); */

 /*
 * Added for compabitility with output area
 */

 :root {

  /* Borders

  The following variables, specify the visual styling of borders in JupyterLab.
   */

  /* UI Fonts

  The UI font CSS variables are used for the typography all of the JupyterLab
  user interface elements that are not directly user generated content.
  */ /* Base font size */ /* Ensures px perfect FontAwesome icons */

  /* Use these font colors against the corresponding main layout colors.
     In a light theme, these go from dark to light.
  */

  /* Use these against the brand/accent/warn/error colors.
     These will typically go from light to darker, in both a dark and light theme
   */

  /* Content Fonts

  Content font variables are used for typography of user generated content.
  */ /* Base font size */


  /* Layout

  The following are the main layout colors use in JupyterLab. In a light
  theme these would go from light to dark.
  */

  /* Brand/accent */

  /* State colors (warn, error, success, info) */

  /* Cell specific styles */
  /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
  /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */

  /* Notebook specific styles */

  /* Console specific styles */

  /* Toolbar specific styles */
}

 /* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /*
 * We assume that the CSS variables in
 * https://github.com/jupyterlab/jupyterlab/blob/master/src/default-theme/variables.css
 * have been defined.
 */

 /* This file has code derived from PhosphorJS CSS files, as noted below. The license for this PhosphorJS code is:

Copyright (c) 2014-2017, PhosphorJS Contributors
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

*/

 /*
 * The following section is derived from https://github.com/phosphorjs/phosphor/blob/23b9d075ebc5b73ab148b6ebfc20af97f85714c4/packages/widgets/style/tabbar.css 
 * We've scoped the rules so that they are consistent with exactly our code.
 */

 .jupyter-widgets.widget-tab > .p-TabBar {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
  margin: 0;
  padding: 0;
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  list-style-type: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] > .p-TabBar-content {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] > .p-TabBar-content {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
  -webkit-box-sizing: border-box;
          box-sizing: border-box;
  overflow: hidden;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
  -webkit-box-flex: 0;
      -ms-flex: 0 0 auto;
          flex: 0 0 auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel {
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  overflow: hidden;
  white-space: nowrap;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-hidden {
  display: none !important;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab {
  position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='horizontal'] .p-TabBar-tab {
  left: 0;
  -webkit-transition: left 150ms ease;
  transition: left 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='vertical'] .p-TabBar-tab {
  top: 0;
  -webkit-transition: top 150ms ease;
  transition: top 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging {
  -webkit-transition: none;
  transition: none;
}

 /* End tabbar.css */

 :root { /* margin between inline elements */

    /* From Material Design Lite */
}

 .jupyter-widgets {
    margin: 2px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    color: black;
    overflow: visible;
}

 .jupyter-widgets.jupyter-widgets-disconnected::before {
    line-height: 28px;
    height: 28px;
}

 .jp-Output-result > .jupyter-widgets {
    margin-left: 0;
    margin-right: 0;
}

 /* vbox and hbox */

 .widget-inline-hbox {
    /* Horizontal widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
    -webkit-box-align: baseline;
        -ms-flex-align: baseline;
            align-items: baseline;
}

 .widget-inline-vbox {
    /* Vertical Widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widget-box {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    margin: 0;
    overflow: auto;
}

 .widget-gridbox {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: grid;
    margin: 0;
    overflow: auto;
}

 .widget-hbox {
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
}

 .widget-vbox {
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 /* General Button Styling */

 .jupyter-button {
    padding-left: 10px;
    padding-right: 10px;
    padding-top: 0px;
    padding-bottom: 0px;
    display: inline-block;
    white-space: nowrap;
    overflow: hidden;
    text-overflow: ellipsis;
    text-align: center;
    font-size: 13px;
    cursor: pointer;

    height: 28px;
    border: 0px solid;
    line-height: 28px;
    -webkit-box-shadow: none;
            box-shadow: none;

    color: rgba(0, 0, 0, .8);
    background-color: #EEEEEE;
    border-color: #E0E0E0;
    border: none;
}

 .jupyter-button i.fa {
    margin-right: 4px;
    pointer-events: none;
}

 .jupyter-button:empty:before {
    content: "\200b"; /* zero-width space */
}

 .jupyter-widgets.jupyter-button:disabled {
    opacity: 0.6;
}

 .jupyter-button i.fa.center {
    margin-right: 0;
}

 .jupyter-button:hover:enabled, .jupyter-button:focus:enabled {
    /* MD Lite 2dp shadow */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
            box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .jupyter-button:active, .jupyter-button.mod-active {
    /* MD Lite 4dp shadow */
    -webkit-box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
            box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
    color: rgba(0, 0, 0, .8);
    background-color: #BDBDBD;
}

 .jupyter-button:focus:enabled {
    outline: 1px solid #64B5F6;
}

 /* Button "Primary" Styling */

 .jupyter-button.mod-primary {
    color: rgba(255, 255, 255, 1.0);
    background-color: #2196F3;
}

 .jupyter-button.mod-primary.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 .jupyter-button.mod-primary:active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 /* Button "Success" Styling */

 .jupyter-button.mod-success {
    color: rgba(255, 255, 255, 1.0);
    background-color: #4CAF50;
}

 .jupyter-button.mod-success.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 .jupyter-button.mod-success:active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 /* Button "Info" Styling */

 .jupyter-button.mod-info {
    color: rgba(255, 255, 255, 1.0);
    background-color: #00BCD4;
}

 .jupyter-button.mod-info.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 .jupyter-button.mod-info:active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 /* Button "Warning" Styling */

 .jupyter-button.mod-warning {
    color: rgba(255, 255, 255, 1.0);
    background-color: #FF9800;
}

 .jupyter-button.mod-warning.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 .jupyter-button.mod-warning:active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 /* Button "Danger" Styling */

 .jupyter-button.mod-danger {
    color: rgba(255, 255, 255, 1.0);
    background-color: #F44336;
}

 .jupyter-button.mod-danger.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 .jupyter-button.mod-danger:active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 /* Widget Button*/

 .widget-button, .widget-toggle-button {
    width: 148px;
}

 /* Widget Label Styling */

 /* Override Bootstrap label css */

 .jupyter-widgets label {
    margin-bottom: 0;
    margin-bottom: initial;
}

 .widget-label-basic {
    /* Basic Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-label {
    /* Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-inline-hbox .widget-label {
    /* Horizontal Widget Label */
    color: black;
    text-align: right;
    margin-right: 8px;
    width: 80px;
    -ms-flex-negative: 0;
        flex-shrink: 0;
}

 .widget-inline-vbox .widget-label {
    /* Vertical Widget Label */
    color: black;
    text-align: center;
    line-height: 28px;
}

 /* Widget Readout Styling */

 .widget-readout {
    color: black;
    font-size: 13px;
    height: 28px;
    line-height: 28px;
    overflow: hidden;
    white-space: nowrap;
    text-align: center;
}

 .widget-readout.overflow {
    /* Overflowing Readout */

    /* From Material Design Lite
        shadow-key-umbra-opacity: 0.2;
        shadow-key-penumbra-opacity: 0.14;
        shadow-ambient-shadow-opacity: 0.12;
     */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                        0 3px 1px -2px rgba(0, 0, 0, .14),
                        0 1px 5px 0 rgba(0, 0, 0, .12);

    box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                0 3px 1px -2px rgba(0, 0, 0, .14),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .widget-inline-hbox .widget-readout {
    /* Horizontal Readout */
    text-align: center;
    max-width: 148px;
    min-width: 72px;
    margin-left: 4px;
}

 .widget-inline-vbox .widget-readout {
    /* Vertical Readout */
    margin-top: 4px;
    /* as wide as the widget */
    width: inherit;
}

 /* Widget Checkbox Styling */

 .widget-checkbox {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-checkbox input[type="checkbox"] {
    margin: 0px 8px 0px 0px;
    line-height: 28px;
    font-size: large;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -ms-flex-item-align: center;
        align-self: center;
}

 /* Widget Valid Styling */

 .widget-valid {
    height: 28px;
    line-height: 28px;
    width: 148px;
    font-size: 13px;
}

 .widget-valid i:before {
    line-height: 28px;
    margin-right: 4px;
    margin-left: 4px;

    /* from the fa class in FontAwesome: https://github.com/FortAwesome/Font-Awesome/blob/49100c7c3a7b58d50baa71efef11af41a66b03d3/css/font-awesome.css#L14 */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .widget-valid.mod-valid i:before {
    content: "\f00c";
    color: green;
}

 .widget-valid.mod-invalid i:before {
    content: "\f00d";
    color: red;
}

 .widget-valid.mod-valid .widget-valid-readout {
    display: none;
}

 /* Widget Text and TextArea Stying */

 .widget-textarea, .widget-text {
    width: 300px;
}

 .widget-text input[type="text"], .widget-text input[type="number"]{
    height: 28px;
    line-height: 28px;
}

 .widget-text input[type="text"]:disabled, .widget-text input[type="number"]:disabled, .widget-textarea textarea:disabled {
    opacity: 0.6;
}

 .widget-text input[type="text"], .widget-text input[type="number"], .widget-textarea textarea {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    outline: none !important;
}

 .widget-textarea textarea {
    height: inherit;
    width: inherit;
}

 .widget-text input:focus, .widget-textarea textarea:focus {
    border-color: #64B5F6;
}

 /* Widget Slider */

 .widget-slider .ui-slider {
    /* Slider Track */
    border: 1px solid #BDBDBD;
    background: #BDBDBD;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    position: relative;
    border-radius: 0px;
}

 .widget-slider .ui-slider .ui-slider-handle {
    /* Slider Handle */
    outline: none !important; /* focused slider handles are colored - see below */
    position: absolute;
    background-color: white;
    border: 1px solid #9E9E9E;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    z-index: 1;
    background-image: none; /* Override jquery-ui */
}

 /* Override jquery-ui */

 .widget-slider .ui-slider .ui-slider-handle:hover, .widget-slider .ui-slider .ui-slider-handle:focus {
    background-color: #2196F3;
    border: 1px solid #2196F3;
}

 .widget-slider .ui-slider .ui-slider-handle:active {
    background-color: #2196F3;
    border-color: #2196F3;
    z-index: 2;
    -webkit-transform: scale(1.2);
            transform: scale(1.2);
}

 .widget-slider  .ui-slider .ui-slider-range {
    /* Interval between the two specified value of a double slider */
    position: absolute;
    background: #2196F3;
    z-index: 0;
}

 /* Shapes of Slider Handles */

 .widget-hslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-top: -7px;
    margin-left: -7px;
    border-radius: 50%;
    top: 0;
}

 .widget-vslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-bottom: -7px;
    margin-left: -7px;
    border-radius: 50%;
    left: 0;
}

 .widget-hslider .ui-slider .ui-slider-range {
    height: 8px;
    margin-top: -3px;
}

 .widget-vslider .ui-slider .ui-slider-range {
    width: 8px;
    margin-left: -3px;
}

 /* Horizontal Slider */

 .widget-hslider {
    width: 300px;
    height: 28px;
    line-height: 28px;

    /* Override the align-items baseline. This way, the description and readout
    still seem to align their baseline properly, and we don't have to have
    align-self: stretch in the .slider-container. */
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widgets-slider .slider-container {
    overflow: visible;
}

 .widget-hslider .slider-container {
    height: 28px;
    margin-left: 6px;
    margin-right: 6px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
}

 .widget-hslider .ui-slider {
    /* Inner, invisible slide div */
    height: 4px;
    margin-top: 12px;
    width: 100%;
}

 /* Vertical Slider */

 .widget-vbox .widget-label {
    height: 28px;
    line-height: 28px;
}

 .widget-vslider {
    /* Vertical Slider */
    height: 200px;
    width: 72px;
}

 .widget-vslider .slider-container {
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 6px;
    margin-top: 6px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .widget-vslider .ui-slider-vertical {
    /* Inner, invisible slide div */
    width: 4px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-left: auto;
    margin-right: auto;
}

 /* Widget Progress Styling */

 .progress-bar {
    -webkit-transition: none;
    transition: none;
}

 .progress-bar {
    height: 28px;
}

 .progress-bar {
    background-color: #2196F3;
}

 .progress-bar-success {
    background-color: #4CAF50;
}

 .progress-bar-info {
    background-color: #00BCD4;
}

 .progress-bar-warning {
    background-color: #FF9800;
}

 .progress-bar-danger {
    background-color: #F44336;
}

 .progress {
    background-color: #EEEEEE;
    border: none;
    -webkit-box-shadow: none;
            box-shadow: none;
}

 /* Horisontal Progress */

 .widget-hprogress {
    /* Progress Bar */
    height: 28px;
    line-height: 28px;
    width: 300px;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;

}

 .widget-hprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-top: 4px;
    margin-bottom: 4px;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    /* Override bootstrap style */
    height: auto;
    height: initial;
}

 /* Vertical Progress */

 .widget-vprogress {
    height: 200px;
    width: 72px;
}

 .widget-vprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    width: 20px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 0;
}

 /* Select Widget Styling */

 .widget-dropdown {
    height: 28px;
    width: 300px;
    line-height: 28px;
}

 .widget-dropdown > select {
    padding-right: 20px;
    border: 1px solid #9E9E9E;
    border-radius: 0;
    height: inherit;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    outline: none !important;
    -webkit-box-shadow: none;
            box-shadow: none;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    vertical-align: top;
    padding-left: 8px;
	appearance: none;
	-webkit-appearance: none;
	-moz-appearance: none;
    background-repeat: no-repeat;
	background-size: 20px;
	background-position: right center;
    background-image: url("data:image/svg+xml;base64,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");
}

 .widget-dropdown > select:focus {
    border-color: #64B5F6;
}

 .widget-dropdown > select:disabled {
    opacity: 0.6;
}

 /* To disable the dotted border in Firefox around select controls.
   See http://stackoverflow.com/a/18853002 */

 .widget-dropdown > select:-moz-focusring {
    color: transparent;
    text-shadow: 0 0 0 #000;
}

 /* Select and SelectMultiple */

 .widget-select {
    width: 300px;
    line-height: 28px;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    -webkit-box-align: start;
        -ms-flex-align: start;
            align-items: flex-start;
}

 .widget-select > select {
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    outline: none !important;
    overflow: auto;
    height: inherit;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    padding-top: 5px;
}

 .widget-select > select:focus {
    border-color: #64B5F6;
}

 .wiget-select > select > option {
    padding-left: 4px;
    line-height: 28px;
    /* line-height doesn't work on some browsers for select options */
    padding-top: calc(28px - var(--jp-widgets-font-size) / 2);
    padding-bottom: calc(28px - var(--jp-widgets-font-size) / 2);
}

 /* Toggle Buttons Styling */

 .widget-toggle-buttons {
    line-height: 28px;
}

 .widget-toggle-buttons .widget-toggle-button {
    margin-left: 2px;
    margin-right: 2px;
}

 .widget-toggle-buttons .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Radio Buttons Styling */

 .widget-radio {
    width: 300px;
    line-height: 28px;
}

 .widget-radio-box {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-bottom: 8px;
}

 .widget-radio-box label {
    height: 20px;
    line-height: 20px;
    font-size: 13px;
}

 .widget-radio-box input {
    height: 20px;
    line-height: 20px;
    margin: 0 8px 0 1px;
    float: left;
}

 /* Color Picker Styling */

 .widget-colorpicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-colorpicker > .widget-colorpicker-input {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 72px;
}

 .widget-colorpicker input[type="color"] {
    width: 28px;
    height: 28px;
    padding: 0 2px; /* make the color square actually square on Chrome on OS X */
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    border-left: none;
    -webkit-box-flex: 0;
        -ms-flex-positive: 0;
            flex-grow: 0;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    outline: none !important;
}

 .widget-colorpicker.concise input[type="color"] {
    border-left: 1px solid #9E9E9E;
}

 .widget-colorpicker input[type="color"]:focus, .widget-colorpicker input[type="text"]:focus {
    border-color: #64B5F6;
}

 .widget-colorpicker input[type="text"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    outline: none !important;
    height: 28px;
    line-height: 28px;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    font-size: 13px;
    padding: 4px 8px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-colorpicker input[type="text"]:disabled {
    opacity: 0.6;
}

 /* Date Picker Styling */

 .widget-datepicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-datepicker input[type="date"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    outline: none !important;
    height: 28px;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-datepicker input[type="date"]:focus {
    border-color: #64B5F6;
}

 .widget-datepicker input[type="date"]:invalid {
    border-color: #FF9800;
}

 .widget-datepicker input[type="date"]:disabled {
    opacity: 0.6;
}

 /* Play Widget */

 .widget-play {
    width: 148px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .widget-play .jupyter-button {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    height: auto;
}

 .widget-play .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Tab Widget */

 .jupyter-widgets.widget-tab {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    /* Necessary so that a tab can be shifted down to overlay the border of the box below. */
    overflow-x: visible;
    overflow-y: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
    /* Make sure that the tab grows from bottom up */
    -webkit-box-align: end;
        -ms-flex-align: end;
            align-items: flex-end;
    min-width: 0;
    min-height: 0;
}

 .jupyter-widgets.widget-tab > .widget-tab-contents {
    width: 100%;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    margin: 0;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    padding: 15px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    overflow: auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    font: 13px Helvetica, Arial, sans-serif;
    min-height: 25px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
    -webkit-box-flex: 0;
        -ms-flex: 0 1 144px;
            flex: 0 1 144px;
    min-width: 35px;
    min-height: 25px;
    line-height: 24px;
    margin-left: -1px;
    padding: 0px 10px;
    background: #EEEEEE;
    color: rgba(0, 0, 0, .5);
    border: 1px solid #9E9E9E;
    border-bottom: none;
    position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current {
    color: rgba(0, 0, 0, 1.0);
    /* We want the background to match the tab content background */
    background: white;
    min-height: 26px;
    -webkit-transform: translateY(1px);
            transform: translateY(1px);
    overflow: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current:before {
    position: absolute;
    top: -1px;
    left: -1px;
    content: '';
    height: 2px;
    width: calc(100% + 2px);
    background: #2196F3;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:first-child {
    margin-left: 0;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:hover:not(.p-mod-current) {
    background: white;
    color: rgba(0, 0, 0, .8);
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon {
    margin-left: 4px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon:before {
    font-family: FontAwesome;
    content: '\f00d'; /* close */
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
    line-height: 24px;
}

 /* Accordion Widget */

 .p-Collapse {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Collapse-header {
    padding: 4px;
    cursor: pointer;
    color: rgba(0, 0, 0, .5);
    background-color: #EEEEEE;
    border: 1px solid #9E9E9E;
    padding: 10px 15px;
    font-weight: bold;
}

 .p-Collapse-header:hover {
    background-color: white;
    color: rgba(0, 0, 0, .8);
}

 .p-Collapse-open > .p-Collapse-header {
    background-color: white;
    color: rgba(0, 0, 0, 1.0);
    cursor: default;
    border-bottom: none;
}

 .p-Collapse .p-Collapse-header::before {
    content: '\f0da\00A0';  /* caret-right, non-breaking space */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .p-Collapse-open > .p-Collapse-header::before {
    content: '\f0d7\00A0'; /* caret-down, non-breaking space */
}

 .p-Collapse-contents {
    padding: 15px;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    border-left: 1px solid #9E9E9E;
    border-right: 1px solid #9E9E9E;
    border-bottom: 1px solid #9E9E9E;
    overflow: auto;
}

 .p-Accordion {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Accordion .p-Collapse {
    margin-bottom: 0;
}

 .p-Accordion .p-Collapse + .p-Collapse {
    margin-top: 4px;
}

 /* HTML widget */

 .widget-html, .widget-htmlmath {
    font-size: 13px;
}

 .widget-html > .widget-html-content, .widget-htmlmath > .widget-html-content {
    /* Fill out the area in the HTML widget */
    -ms-flex-item-align: stretch;
        align-self: stretch;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    /* Makes sure the baseline is still aligned with other elements */
    line-height: 28px;
    /* Make it possible to have absolutely-positioned elements in the html */
    position: relative;
}

/*# 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 */",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "text/css"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 177
        }
      },
      "source": [
        "from IPython.html import widgets\n",
        "from IPython.display import display\n",
        "\n",
        "geo={'leapfrog':['gender','age','work_time','department']}\n",
        "\n",
        "\n",
        "\n",
        "def find_result(attri,section):\n",
        "    show_summary(leap_data,ratio=0.1,col=attri,attribute=section,review='review')\n",
        "\n",
        "def select_attri(company):\n",
        "    cityW.options = geo[company]\n",
        "\n",
        "#add in 'select district' function that looks in the new dictionary\n",
        "def select_section(attri):\n",
        "    districtW.options = geo2[attri]\n",
        "\n",
        "scW = widgets.Dropdown(options=geo.keys())\n",
        "init = scW.value\n",
        "cityW = widgets.Dropdown(options=geo[init])\n",
        "\n",
        "\n",
        "init2= cityW.value #new start value for district dropdown\n",
        "districtW = widgets.Dropdown(options=geo2[init2]) #define district dropdown widget\n",
        "\n",
        "j = widgets.interactive(find_result, attri=cityW, section=districtW) #define district value\n",
        "i = widgets.interactive(select_attri, company=scW)\n",
        "\n",
        "k = widgets.interactive(select_section, attri=cityW) #call everything together with new interactive\n",
        "\n",
        "display(i)\n",
        "display(j)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "cc5aa50409df4608ac135e31389996bd",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "interactive(children=(Dropdown(description='company', options=('leapfrog',), value='leapfrog'), Output()), _do…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "1b3c50d2813e480e8621a97b78cb72f3",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "interactive(children=(Dropdown(description='attri', options=('gender', 'age', 'work_time', 'department'), valu…"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RTg-8MNN4tkU",
        "colab_type": "code",
        "outputId": "e103563d-76e8-4a35-87eb-d29a4f5398dd",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/colabwidgets/controls.css": {
              "data": "/* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /* We import all of these together in a single css file because the Webpack
loader sees only one file at a time. This allows postcss to see the variable
definitions when they are used. */

 /*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

 /*
This file is copied from the JupyterLab project to define default styling for
when the widget styling is compiled down to eliminate CSS variables. We make one
change - we comment out the font import below.
*/

 /**
 * The material design colors are adapted from google-material-color v1.2.6
 * https://github.com/danlevan/google-material-color
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/dist/palette.var.css
 *
 * The license for the material design color CSS variables is as follows (see
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/LICENSE)
 *
 * The MIT License (MIT)
 *
 * Copyright (c) 2014 Dan Le Van
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

 /*
The following CSS variables define the main, public API for styling JupyterLab.
These variables should be used by all plugins wherever possible. In other
words, plugins should not define custom colors, sizes, etc unless absolutely
necessary. This enables users to change the visual theme of JupyterLab
by changing these variables.

Many variables appear in an ordered sequence (0,1,2,3). These sequences
are designed to work well together, so for example, `--jp-border-color1` should
be used with `--jp-layout-color1`. The numbers have the following meanings:

* 0: super-primary, reserved for special emphasis
* 1: primary, most important under normal situations
* 2: secondary, next most important under normal situations
* 3: tertiary, next most important under normal situations

Throughout JupyterLab, we are mostly following principles from Google's
Material Design when selecting colors. We are not, however, following
all of MD as it is not optimized for dense, information rich UIs.
*/

 /*
 * Optional monospace font for input/output prompt.
 */

 /* Commented out in ipywidgets since we don't need it. */

 /* @import url('https://fonts.googleapis.com/css?family=Roboto+Mono'); */

 /*
 * Added for compabitility with output area
 */

 :root {

  /* Borders

  The following variables, specify the visual styling of borders in JupyterLab.
   */

  /* UI Fonts

  The UI font CSS variables are used for the typography all of the JupyterLab
  user interface elements that are not directly user generated content.
  */ /* Base font size */ /* Ensures px perfect FontAwesome icons */

  /* Use these font colors against the corresponding main layout colors.
     In a light theme, these go from dark to light.
  */

  /* Use these against the brand/accent/warn/error colors.
     These will typically go from light to darker, in both a dark and light theme
   */

  /* Content Fonts

  Content font variables are used for typography of user generated content.
  */ /* Base font size */


  /* Layout

  The following are the main layout colors use in JupyterLab. In a light
  theme these would go from light to dark.
  */

  /* Brand/accent */

  /* State colors (warn, error, success, info) */

  /* Cell specific styles */
  /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
  /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */

  /* Notebook specific styles */

  /* Console specific styles */

  /* Toolbar specific styles */
}

 /* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /*
 * We assume that the CSS variables in
 * https://github.com/jupyterlab/jupyterlab/blob/master/src/default-theme/variables.css
 * have been defined.
 */

 /* This file has code derived from PhosphorJS CSS files, as noted below. The license for this PhosphorJS code is:

Copyright (c) 2014-2017, PhosphorJS Contributors
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

*/

 /*
 * The following section is derived from https://github.com/phosphorjs/phosphor/blob/23b9d075ebc5b73ab148b6ebfc20af97f85714c4/packages/widgets/style/tabbar.css 
 * We've scoped the rules so that they are consistent with exactly our code.
 */

 .jupyter-widgets.widget-tab > .p-TabBar {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
  margin: 0;
  padding: 0;
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  list-style-type: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] > .p-TabBar-content {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] > .p-TabBar-content {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
  -webkit-box-sizing: border-box;
          box-sizing: border-box;
  overflow: hidden;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
  -webkit-box-flex: 0;
      -ms-flex: 0 0 auto;
          flex: 0 0 auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel {
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  overflow: hidden;
  white-space: nowrap;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-hidden {
  display: none !important;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab {
  position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='horizontal'] .p-TabBar-tab {
  left: 0;
  -webkit-transition: left 150ms ease;
  transition: left 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='vertical'] .p-TabBar-tab {
  top: 0;
  -webkit-transition: top 150ms ease;
  transition: top 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging {
  -webkit-transition: none;
  transition: none;
}

 /* End tabbar.css */

 :root { /* margin between inline elements */

    /* From Material Design Lite */
}

 .jupyter-widgets {
    margin: 2px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    color: black;
    overflow: visible;
}

 .jupyter-widgets.jupyter-widgets-disconnected::before {
    line-height: 28px;
    height: 28px;
}

 .jp-Output-result > .jupyter-widgets {
    margin-left: 0;
    margin-right: 0;
}

 /* vbox and hbox */

 .widget-inline-hbox {
    /* Horizontal widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
    -webkit-box-align: baseline;
        -ms-flex-align: baseline;
            align-items: baseline;
}

 .widget-inline-vbox {
    /* Vertical Widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widget-box {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    margin: 0;
    overflow: auto;
}

 .widget-gridbox {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: grid;
    margin: 0;
    overflow: auto;
}

 .widget-hbox {
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
}

 .widget-vbox {
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 /* General Button Styling */

 .jupyter-button {
    padding-left: 10px;
    padding-right: 10px;
    padding-top: 0px;
    padding-bottom: 0px;
    display: inline-block;
    white-space: nowrap;
    overflow: hidden;
    text-overflow: ellipsis;
    text-align: center;
    font-size: 13px;
    cursor: pointer;

    height: 28px;
    border: 0px solid;
    line-height: 28px;
    -webkit-box-shadow: none;
            box-shadow: none;

    color: rgba(0, 0, 0, .8);
    background-color: #EEEEEE;
    border-color: #E0E0E0;
    border: none;
}

 .jupyter-button i.fa {
    margin-right: 4px;
    pointer-events: none;
}

 .jupyter-button:empty:before {
    content: "\200b"; /* zero-width space */
}

 .jupyter-widgets.jupyter-button:disabled {
    opacity: 0.6;
}

 .jupyter-button i.fa.center {
    margin-right: 0;
}

 .jupyter-button:hover:enabled, .jupyter-button:focus:enabled {
    /* MD Lite 2dp shadow */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
            box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .jupyter-button:active, .jupyter-button.mod-active {
    /* MD Lite 4dp shadow */
    -webkit-box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
            box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
    color: rgba(0, 0, 0, .8);
    background-color: #BDBDBD;
}

 .jupyter-button:focus:enabled {
    outline: 1px solid #64B5F6;
}

 /* Button "Primary" Styling */

 .jupyter-button.mod-primary {
    color: rgba(255, 255, 255, 1.0);
    background-color: #2196F3;
}

 .jupyter-button.mod-primary.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 .jupyter-button.mod-primary:active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 /* Button "Success" Styling */

 .jupyter-button.mod-success {
    color: rgba(255, 255, 255, 1.0);
    background-color: #4CAF50;
}

 .jupyter-button.mod-success.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 .jupyter-button.mod-success:active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 /* Button "Info" Styling */

 .jupyter-button.mod-info {
    color: rgba(255, 255, 255, 1.0);
    background-color: #00BCD4;
}

 .jupyter-button.mod-info.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 .jupyter-button.mod-info:active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 /* Button "Warning" Styling */

 .jupyter-button.mod-warning {
    color: rgba(255, 255, 255, 1.0);
    background-color: #FF9800;
}

 .jupyter-button.mod-warning.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 .jupyter-button.mod-warning:active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 /* Button "Danger" Styling */

 .jupyter-button.mod-danger {
    color: rgba(255, 255, 255, 1.0);
    background-color: #F44336;
}

 .jupyter-button.mod-danger.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 .jupyter-button.mod-danger:active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 /* Widget Button*/

 .widget-button, .widget-toggle-button {
    width: 148px;
}

 /* Widget Label Styling */

 /* Override Bootstrap label css */

 .jupyter-widgets label {
    margin-bottom: 0;
    margin-bottom: initial;
}

 .widget-label-basic {
    /* Basic Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-label {
    /* Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-inline-hbox .widget-label {
    /* Horizontal Widget Label */
    color: black;
    text-align: right;
    margin-right: 8px;
    width: 80px;
    -ms-flex-negative: 0;
        flex-shrink: 0;
}

 .widget-inline-vbox .widget-label {
    /* Vertical Widget Label */
    color: black;
    text-align: center;
    line-height: 28px;
}

 /* Widget Readout Styling */

 .widget-readout {
    color: black;
    font-size: 13px;
    height: 28px;
    line-height: 28px;
    overflow: hidden;
    white-space: nowrap;
    text-align: center;
}

 .widget-readout.overflow {
    /* Overflowing Readout */

    /* From Material Design Lite
        shadow-key-umbra-opacity: 0.2;
        shadow-key-penumbra-opacity: 0.14;
        shadow-ambient-shadow-opacity: 0.12;
     */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                        0 3px 1px -2px rgba(0, 0, 0, .14),
                        0 1px 5px 0 rgba(0, 0, 0, .12);

    box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                0 3px 1px -2px rgba(0, 0, 0, .14),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .widget-inline-hbox .widget-readout {
    /* Horizontal Readout */
    text-align: center;
    max-width: 148px;
    min-width: 72px;
    margin-left: 4px;
}

 .widget-inline-vbox .widget-readout {
    /* Vertical Readout */
    margin-top: 4px;
    /* as wide as the widget */
    width: inherit;
}

 /* Widget Checkbox Styling */

 .widget-checkbox {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-checkbox input[type="checkbox"] {
    margin: 0px 8px 0px 0px;
    line-height: 28px;
    font-size: large;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -ms-flex-item-align: center;
        align-self: center;
}

 /* Widget Valid Styling */

 .widget-valid {
    height: 28px;
    line-height: 28px;
    width: 148px;
    font-size: 13px;
}

 .widget-valid i:before {
    line-height: 28px;
    margin-right: 4px;
    margin-left: 4px;

    /* from the fa class in FontAwesome: https://github.com/FortAwesome/Font-Awesome/blob/49100c7c3a7b58d50baa71efef11af41a66b03d3/css/font-awesome.css#L14 */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .widget-valid.mod-valid i:before {
    content: "\f00c";
    color: green;
}

 .widget-valid.mod-invalid i:before {
    content: "\f00d";
    color: red;
}

 .widget-valid.mod-valid .widget-valid-readout {
    display: none;
}

 /* Widget Text and TextArea Stying */

 .widget-textarea, .widget-text {
    width: 300px;
}

 .widget-text input[type="text"], .widget-text input[type="number"]{
    height: 28px;
    line-height: 28px;
}

 .widget-text input[type="text"]:disabled, .widget-text input[type="number"]:disabled, .widget-textarea textarea:disabled {
    opacity: 0.6;
}

 .widget-text input[type="text"], .widget-text input[type="number"], .widget-textarea textarea {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    outline: none !important;
}

 .widget-textarea textarea {
    height: inherit;
    width: inherit;
}

 .widget-text input:focus, .widget-textarea textarea:focus {
    border-color: #64B5F6;
}

 /* Widget Slider */

 .widget-slider .ui-slider {
    /* Slider Track */
    border: 1px solid #BDBDBD;
    background: #BDBDBD;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    position: relative;
    border-radius: 0px;
}

 .widget-slider .ui-slider .ui-slider-handle {
    /* Slider Handle */
    outline: none !important; /* focused slider handles are colored - see below */
    position: absolute;
    background-color: white;
    border: 1px solid #9E9E9E;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    z-index: 1;
    background-image: none; /* Override jquery-ui */
}

 /* Override jquery-ui */

 .widget-slider .ui-slider .ui-slider-handle:hover, .widget-slider .ui-slider .ui-slider-handle:focus {
    background-color: #2196F3;
    border: 1px solid #2196F3;
}

 .widget-slider .ui-slider .ui-slider-handle:active {
    background-color: #2196F3;
    border-color: #2196F3;
    z-index: 2;
    -webkit-transform: scale(1.2);
            transform: scale(1.2);
}

 .widget-slider  .ui-slider .ui-slider-range {
    /* Interval between the two specified value of a double slider */
    position: absolute;
    background: #2196F3;
    z-index: 0;
}

 /* Shapes of Slider Handles */

 .widget-hslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-top: -7px;
    margin-left: -7px;
    border-radius: 50%;
    top: 0;
}

 .widget-vslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-bottom: -7px;
    margin-left: -7px;
    border-radius: 50%;
    left: 0;
}

 .widget-hslider .ui-slider .ui-slider-range {
    height: 8px;
    margin-top: -3px;
}

 .widget-vslider .ui-slider .ui-slider-range {
    width: 8px;
    margin-left: -3px;
}

 /* Horizontal Slider */

 .widget-hslider {
    width: 300px;
    height: 28px;
    line-height: 28px;

    /* Override the align-items baseline. This way, the description and readout
    still seem to align their baseline properly, and we don't have to have
    align-self: stretch in the .slider-container. */
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widgets-slider .slider-container {
    overflow: visible;
}

 .widget-hslider .slider-container {
    height: 28px;
    margin-left: 6px;
    margin-right: 6px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
}

 .widget-hslider .ui-slider {
    /* Inner, invisible slide div */
    height: 4px;
    margin-top: 12px;
    width: 100%;
}

 /* Vertical Slider */

 .widget-vbox .widget-label {
    height: 28px;
    line-height: 28px;
}

 .widget-vslider {
    /* Vertical Slider */
    height: 200px;
    width: 72px;
}

 .widget-vslider .slider-container {
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 6px;
    margin-top: 6px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .widget-vslider .ui-slider-vertical {
    /* Inner, invisible slide div */
    width: 4px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-left: auto;
    margin-right: auto;
}

 /* Widget Progress Styling */

 .progress-bar {
    -webkit-transition: none;
    transition: none;
}

 .progress-bar {
    height: 28px;
}

 .progress-bar {
    background-color: #2196F3;
}

 .progress-bar-success {
    background-color: #4CAF50;
}

 .progress-bar-info {
    background-color: #00BCD4;
}

 .progress-bar-warning {
    background-color: #FF9800;
}

 .progress-bar-danger {
    background-color: #F44336;
}

 .progress {
    background-color: #EEEEEE;
    border: none;
    -webkit-box-shadow: none;
            box-shadow: none;
}

 /* Horisontal Progress */

 .widget-hprogress {
    /* Progress Bar */
    height: 28px;
    line-height: 28px;
    width: 300px;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;

}

 .widget-hprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-top: 4px;
    margin-bottom: 4px;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    /* Override bootstrap style */
    height: auto;
    height: initial;
}

 /* Vertical Progress */

 .widget-vprogress {
    height: 200px;
    width: 72px;
}

 .widget-vprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    width: 20px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 0;
}

 /* Select Widget Styling */

 .widget-dropdown {
    height: 28px;
    width: 300px;
    line-height: 28px;
}

 .widget-dropdown > select {
    padding-right: 20px;
    border: 1px solid #9E9E9E;
    border-radius: 0;
    height: inherit;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    outline: none !important;
    -webkit-box-shadow: none;
            box-shadow: none;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    vertical-align: top;
    padding-left: 8px;
	appearance: none;
	-webkit-appearance: none;
	-moz-appearance: none;
    background-repeat: no-repeat;
	background-size: 20px;
	background-position: right center;
    background-image: url("data:image/svg+xml;base64,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");
}

 .widget-dropdown > select:focus {
    border-color: #64B5F6;
}

 .widget-dropdown > select:disabled {
    opacity: 0.6;
}

 /* To disable the dotted border in Firefox around select controls.
   See http://stackoverflow.com/a/18853002 */

 .widget-dropdown > select:-moz-focusring {
    color: transparent;
    text-shadow: 0 0 0 #000;
}

 /* Select and SelectMultiple */

 .widget-select {
    width: 300px;
    line-height: 28px;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    -webkit-box-align: start;
        -ms-flex-align: start;
            align-items: flex-start;
}

 .widget-select > select {
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    outline: none !important;
    overflow: auto;
    height: inherit;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    padding-top: 5px;
}

 .widget-select > select:focus {
    border-color: #64B5F6;
}

 .wiget-select > select > option {
    padding-left: 4px;
    line-height: 28px;
    /* line-height doesn't work on some browsers for select options */
    padding-top: calc(28px - var(--jp-widgets-font-size) / 2);
    padding-bottom: calc(28px - var(--jp-widgets-font-size) / 2);
}

 /* Toggle Buttons Styling */

 .widget-toggle-buttons {
    line-height: 28px;
}

 .widget-toggle-buttons .widget-toggle-button {
    margin-left: 2px;
    margin-right: 2px;
}

 .widget-toggle-buttons .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Radio Buttons Styling */

 .widget-radio {
    width: 300px;
    line-height: 28px;
}

 .widget-radio-box {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-bottom: 8px;
}

 .widget-radio-box label {
    height: 20px;
    line-height: 20px;
    font-size: 13px;
}

 .widget-radio-box input {
    height: 20px;
    line-height: 20px;
    margin: 0 8px 0 1px;
    float: left;
}

 /* Color Picker Styling */

 .widget-colorpicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-colorpicker > .widget-colorpicker-input {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 72px;
}

 .widget-colorpicker input[type="color"] {
    width: 28px;
    height: 28px;
    padding: 0 2px; /* make the color square actually square on Chrome on OS X */
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    border-left: none;
    -webkit-box-flex: 0;
        -ms-flex-positive: 0;
            flex-grow: 0;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    outline: none !important;
}

 .widget-colorpicker.concise input[type="color"] {
    border-left: 1px solid #9E9E9E;
}

 .widget-colorpicker input[type="color"]:focus, .widget-colorpicker input[type="text"]:focus {
    border-color: #64B5F6;
}

 .widget-colorpicker input[type="text"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    outline: none !important;
    height: 28px;
    line-height: 28px;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    font-size: 13px;
    padding: 4px 8px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-colorpicker input[type="text"]:disabled {
    opacity: 0.6;
}

 /* Date Picker Styling */

 .widget-datepicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-datepicker input[type="date"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    outline: none !important;
    height: 28px;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-datepicker input[type="date"]:focus {
    border-color: #64B5F6;
}

 .widget-datepicker input[type="date"]:invalid {
    border-color: #FF9800;
}

 .widget-datepicker input[type="date"]:disabled {
    opacity: 0.6;
}

 /* Play Widget */

 .widget-play {
    width: 148px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .widget-play .jupyter-button {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    height: auto;
}

 .widget-play .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Tab Widget */

 .jupyter-widgets.widget-tab {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    /* Necessary so that a tab can be shifted down to overlay the border of the box below. */
    overflow-x: visible;
    overflow-y: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
    /* Make sure that the tab grows from bottom up */
    -webkit-box-align: end;
        -ms-flex-align: end;
            align-items: flex-end;
    min-width: 0;
    min-height: 0;
}

 .jupyter-widgets.widget-tab > .widget-tab-contents {
    width: 100%;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    margin: 0;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    padding: 15px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    overflow: auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    font: 13px Helvetica, Arial, sans-serif;
    min-height: 25px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
    -webkit-box-flex: 0;
        -ms-flex: 0 1 144px;
            flex: 0 1 144px;
    min-width: 35px;
    min-height: 25px;
    line-height: 24px;
    margin-left: -1px;
    padding: 0px 10px;
    background: #EEEEEE;
    color: rgba(0, 0, 0, .5);
    border: 1px solid #9E9E9E;
    border-bottom: none;
    position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current {
    color: rgba(0, 0, 0, 1.0);
    /* We want the background to match the tab content background */
    background: white;
    min-height: 26px;
    -webkit-transform: translateY(1px);
            transform: translateY(1px);
    overflow: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current:before {
    position: absolute;
    top: -1px;
    left: -1px;
    content: '';
    height: 2px;
    width: calc(100% + 2px);
    background: #2196F3;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:first-child {
    margin-left: 0;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:hover:not(.p-mod-current) {
    background: white;
    color: rgba(0, 0, 0, .8);
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon {
    margin-left: 4px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon:before {
    font-family: FontAwesome;
    content: '\f00d'; /* close */
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
    line-height: 24px;
}

 /* Accordion Widget */

 .p-Collapse {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Collapse-header {
    padding: 4px;
    cursor: pointer;
    color: rgba(0, 0, 0, .5);
    background-color: #EEEEEE;
    border: 1px solid #9E9E9E;
    padding: 10px 15px;
    font-weight: bold;
}

 .p-Collapse-header:hover {
    background-color: white;
    color: rgba(0, 0, 0, .8);
}

 .p-Collapse-open > .p-Collapse-header {
    background-color: white;
    color: rgba(0, 0, 0, 1.0);
    cursor: default;
    border-bottom: none;
}

 .p-Collapse .p-Collapse-header::before {
    content: '\f0da\00A0';  /* caret-right, non-breaking space */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .p-Collapse-open > .p-Collapse-header::before {
    content: '\f0d7\00A0'; /* caret-down, non-breaking space */
}

 .p-Collapse-contents {
    padding: 15px;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    border-left: 1px solid #9E9E9E;
    border-right: 1px solid #9E9E9E;
    border-bottom: 1px solid #9E9E9E;
    overflow: auto;
}

 .p-Accordion {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Accordion .p-Collapse {
    margin-bottom: 0;
}

 .p-Accordion .p-Collapse + .p-Collapse {
    margin-top: 4px;
}

 /* HTML widget */

 .widget-html, .widget-htmlmath {
    font-size: 13px;
}

 .widget-html > .widget-html-content, .widget-htmlmath > .widget-html-content {
    /* Fill out the area in the HTML widget */
    -ms-flex-item-align: stretch;
        align-self: stretch;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    /* Makes sure the baseline is still aligned with other elements */
    line-height: 28px;
    /* Make it possible to have absolutely-positioned elements in the html */
    position: relative;
}

/*# 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 */",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "text/css"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 49
        }
      },
      "source": [
        "from IPython.display import clear_output\n",
        "text = widgets.Text()\n",
        "display(text)\n",
        "def handle_submit(sender):\n",
        "#   clear_output()\n",
        "  review_show('leapfrog',sender.value)\n",
        "text.on_submit(handle_submit)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "01311f5e53c3437194f917076578b77f",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "Text(value='')"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7LL3aDJE5bRO",
        "colab_type": "code",
        "outputId": "eed0d8dc-6afe-4e77-89b9-f839c23db9d1",
        "colab": {
          "resources": {
            "http://localhost:8080/nbextensions/google.colab/colabwidgets/controls.css": {
              "data": "/* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /* We import all of these together in a single css file because the Webpack
loader sees only one file at a time. This allows postcss to see the variable
definitions when they are used. */

 /*-----------------------------------------------------------------------------
| Copyright (c) Jupyter Development Team.
| Distributed under the terms of the Modified BSD License.
|----------------------------------------------------------------------------*/

 /*
This file is copied from the JupyterLab project to define default styling for
when the widget styling is compiled down to eliminate CSS variables. We make one
change - we comment out the font import below.
*/

 /**
 * The material design colors are adapted from google-material-color v1.2.6
 * https://github.com/danlevan/google-material-color
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/dist/palette.var.css
 *
 * The license for the material design color CSS variables is as follows (see
 * https://github.com/danlevan/google-material-color/blob/f67ca5f4028b2f1b34862f64b0ca67323f91b088/LICENSE)
 *
 * The MIT License (MIT)
 *
 * Copyright (c) 2014 Dan Le Van
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to deal
 * in the Software without restriction, including without limitation the rights
 * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
 * copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in
 * all copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
 * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
 * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
 * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
 * SOFTWARE.
 */

 /*
The following CSS variables define the main, public API for styling JupyterLab.
These variables should be used by all plugins wherever possible. In other
words, plugins should not define custom colors, sizes, etc unless absolutely
necessary. This enables users to change the visual theme of JupyterLab
by changing these variables.

Many variables appear in an ordered sequence (0,1,2,3). These sequences
are designed to work well together, so for example, `--jp-border-color1` should
be used with `--jp-layout-color1`. The numbers have the following meanings:

* 0: super-primary, reserved for special emphasis
* 1: primary, most important under normal situations
* 2: secondary, next most important under normal situations
* 3: tertiary, next most important under normal situations

Throughout JupyterLab, we are mostly following principles from Google's
Material Design when selecting colors. We are not, however, following
all of MD as it is not optimized for dense, information rich UIs.
*/

 /*
 * Optional monospace font for input/output prompt.
 */

 /* Commented out in ipywidgets since we don't need it. */

 /* @import url('https://fonts.googleapis.com/css?family=Roboto+Mono'); */

 /*
 * Added for compabitility with output area
 */

 :root {

  /* Borders

  The following variables, specify the visual styling of borders in JupyterLab.
   */

  /* UI Fonts

  The UI font CSS variables are used for the typography all of the JupyterLab
  user interface elements that are not directly user generated content.
  */ /* Base font size */ /* Ensures px perfect FontAwesome icons */

  /* Use these font colors against the corresponding main layout colors.
     In a light theme, these go from dark to light.
  */

  /* Use these against the brand/accent/warn/error colors.
     These will typically go from light to darker, in both a dark and light theme
   */

  /* Content Fonts

  Content font variables are used for typography of user generated content.
  */ /* Base font size */


  /* Layout

  The following are the main layout colors use in JupyterLab. In a light
  theme these would go from light to dark.
  */

  /* Brand/accent */

  /* State colors (warn, error, success, info) */

  /* Cell specific styles */
  /* A custom blend of MD grey and blue 600
   * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
  /* A custom blend of MD grey and orange 600
   * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */

  /* Notebook specific styles */

  /* Console specific styles */

  /* Toolbar specific styles */
}

 /* Copyright (c) Jupyter Development Team.
 * Distributed under the terms of the Modified BSD License.
 */

 /*
 * We assume that the CSS variables in
 * https://github.com/jupyterlab/jupyterlab/blob/master/src/default-theme/variables.css
 * have been defined.
 */

 /* This file has code derived from PhosphorJS CSS files, as noted below. The license for this PhosphorJS code is:

Copyright (c) 2014-2017, PhosphorJS Contributors
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

*/

 /*
 * The following section is derived from https://github.com/phosphorjs/phosphor/blob/23b9d075ebc5b73ab148b6ebfc20af97f85714c4/packages/widgets/style/tabbar.css 
 * We've scoped the rules so that they are consistent with exactly our code.
 */

 .jupyter-widgets.widget-tab > .p-TabBar {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
  margin: 0;
  padding: 0;
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  list-style-type: none;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='horizontal'] > .p-TabBar-content {
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
}

 .jupyter-widgets.widget-tab > .p-TabBar[data-orientation='vertical'] > .p-TabBar-content {
  -webkit-box-orient: vertical;
  -webkit-box-direction: normal;
      -ms-flex-direction: column;
          flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
  display: -webkit-box;
  display: -ms-flexbox;
  display: flex;
  -webkit-box-orient: horizontal;
  -webkit-box-direction: normal;
      -ms-flex-direction: row;
          flex-direction: row;
  -webkit-box-sizing: border-box;
          box-sizing: border-box;
  overflow: hidden;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
  -webkit-box-flex: 0;
      -ms-flex: 0 0 auto;
          flex: 0 0 auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel {
  -webkit-box-flex: 1;
      -ms-flex: 1 1 auto;
          flex: 1 1 auto;
  overflow: hidden;
  white-space: nowrap;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-hidden {
  display: none !important;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab {
  position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='horizontal'] .p-TabBar-tab {
  left: 0;
  -webkit-transition: left 150ms ease;
  transition: left 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging[data-orientation='vertical'] .p-TabBar-tab {
  top: 0;
  -webkit-transition: top 150ms ease;
  transition: top 150ms ease;
}

 .jupyter-widgets.widget-tab > .p-TabBar.p-mod-dragging .p-TabBar-tab.p-mod-dragging {
  -webkit-transition: none;
  transition: none;
}

 /* End tabbar.css */

 :root { /* margin between inline elements */

    /* From Material Design Lite */
}

 .jupyter-widgets {
    margin: 2px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    color: black;
    overflow: visible;
}

 .jupyter-widgets.jupyter-widgets-disconnected::before {
    line-height: 28px;
    height: 28px;
}

 .jp-Output-result > .jupyter-widgets {
    margin-left: 0;
    margin-right: 0;
}

 /* vbox and hbox */

 .widget-inline-hbox {
    /* Horizontal widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
    -webkit-box-align: baseline;
        -ms-flex-align: baseline;
            align-items: baseline;
}

 .widget-inline-vbox {
    /* Vertical Widgets */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widget-box {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    margin: 0;
    overflow: auto;
}

 .widget-gridbox {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    display: grid;
    margin: 0;
    overflow: auto;
}

 .widget-hbox {
    -webkit-box-orient: horizontal;
    -webkit-box-direction: normal;
        -ms-flex-direction: row;
            flex-direction: row;
}

 .widget-vbox {
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 /* General Button Styling */

 .jupyter-button {
    padding-left: 10px;
    padding-right: 10px;
    padding-top: 0px;
    padding-bottom: 0px;
    display: inline-block;
    white-space: nowrap;
    overflow: hidden;
    text-overflow: ellipsis;
    text-align: center;
    font-size: 13px;
    cursor: pointer;

    height: 28px;
    border: 0px solid;
    line-height: 28px;
    -webkit-box-shadow: none;
            box-shadow: none;

    color: rgba(0, 0, 0, .8);
    background-color: #EEEEEE;
    border-color: #E0E0E0;
    border: none;
}

 .jupyter-button i.fa {
    margin-right: 4px;
    pointer-events: none;
}

 .jupyter-button:empty:before {
    content: "\200b"; /* zero-width space */
}

 .jupyter-widgets.jupyter-button:disabled {
    opacity: 0.6;
}

 .jupyter-button i.fa.center {
    margin-right: 0;
}

 .jupyter-button:hover:enabled, .jupyter-button:focus:enabled {
    /* MD Lite 2dp shadow */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
            box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .14),
                0 3px 1px -2px rgba(0, 0, 0, .2),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .jupyter-button:active, .jupyter-button.mod-active {
    /* MD Lite 4dp shadow */
    -webkit-box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
            box-shadow: 0 4px 5px 0 rgba(0, 0, 0, .14),
                0 1px 10px 0 rgba(0, 0, 0, .12),
                0 2px 4px -1px rgba(0, 0, 0, .2);
    color: rgba(0, 0, 0, .8);
    background-color: #BDBDBD;
}

 .jupyter-button:focus:enabled {
    outline: 1px solid #64B5F6;
}

 /* Button "Primary" Styling */

 .jupyter-button.mod-primary {
    color: rgba(255, 255, 255, 1.0);
    background-color: #2196F3;
}

 .jupyter-button.mod-primary.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 .jupyter-button.mod-primary:active {
    color: rgba(255, 255, 255, 1);
    background-color: #1976D2;
}

 /* Button "Success" Styling */

 .jupyter-button.mod-success {
    color: rgba(255, 255, 255, 1.0);
    background-color: #4CAF50;
}

 .jupyter-button.mod-success.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 .jupyter-button.mod-success:active {
    color: rgba(255, 255, 255, 1);
    background-color: #388E3C;
 }

 /* Button "Info" Styling */

 .jupyter-button.mod-info {
    color: rgba(255, 255, 255, 1.0);
    background-color: #00BCD4;
}

 .jupyter-button.mod-info.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 .jupyter-button.mod-info:active {
    color: rgba(255, 255, 255, 1);
    background-color: #0097A7;
}

 /* Button "Warning" Styling */

 .jupyter-button.mod-warning {
    color: rgba(255, 255, 255, 1.0);
    background-color: #FF9800;
}

 .jupyter-button.mod-warning.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 .jupyter-button.mod-warning:active {
    color: rgba(255, 255, 255, 1);
    background-color: #F57C00;
}

 /* Button "Danger" Styling */

 .jupyter-button.mod-danger {
    color: rgba(255, 255, 255, 1.0);
    background-color: #F44336;
}

 .jupyter-button.mod-danger.mod-active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 .jupyter-button.mod-danger:active {
    color: rgba(255, 255, 255, 1);
    background-color: #D32F2F;
}

 /* Widget Button*/

 .widget-button, .widget-toggle-button {
    width: 148px;
}

 /* Widget Label Styling */

 /* Override Bootstrap label css */

 .jupyter-widgets label {
    margin-bottom: 0;
    margin-bottom: initial;
}

 .widget-label-basic {
    /* Basic Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-label {
    /* Label */
    color: black;
    font-size: 13px;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
    line-height: 28px;
}

 .widget-inline-hbox .widget-label {
    /* Horizontal Widget Label */
    color: black;
    text-align: right;
    margin-right: 8px;
    width: 80px;
    -ms-flex-negative: 0;
        flex-shrink: 0;
}

 .widget-inline-vbox .widget-label {
    /* Vertical Widget Label */
    color: black;
    text-align: center;
    line-height: 28px;
}

 /* Widget Readout Styling */

 .widget-readout {
    color: black;
    font-size: 13px;
    height: 28px;
    line-height: 28px;
    overflow: hidden;
    white-space: nowrap;
    text-align: center;
}

 .widget-readout.overflow {
    /* Overflowing Readout */

    /* From Material Design Lite
        shadow-key-umbra-opacity: 0.2;
        shadow-key-penumbra-opacity: 0.14;
        shadow-ambient-shadow-opacity: 0.12;
     */
    -webkit-box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                        0 3px 1px -2px rgba(0, 0, 0, .14),
                        0 1px 5px 0 rgba(0, 0, 0, .12);

    box-shadow: 0 2px 2px 0 rgba(0, 0, 0, .2),
                0 3px 1px -2px rgba(0, 0, 0, .14),
                0 1px 5px 0 rgba(0, 0, 0, .12);
}

 .widget-inline-hbox .widget-readout {
    /* Horizontal Readout */
    text-align: center;
    max-width: 148px;
    min-width: 72px;
    margin-left: 4px;
}

 .widget-inline-vbox .widget-readout {
    /* Vertical Readout */
    margin-top: 4px;
    /* as wide as the widget */
    width: inherit;
}

 /* Widget Checkbox Styling */

 .widget-checkbox {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-checkbox input[type="checkbox"] {
    margin: 0px 8px 0px 0px;
    line-height: 28px;
    font-size: large;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -ms-flex-item-align: center;
        align-self: center;
}

 /* Widget Valid Styling */

 .widget-valid {
    height: 28px;
    line-height: 28px;
    width: 148px;
    font-size: 13px;
}

 .widget-valid i:before {
    line-height: 28px;
    margin-right: 4px;
    margin-left: 4px;

    /* from the fa class in FontAwesome: https://github.com/FortAwesome/Font-Awesome/blob/49100c7c3a7b58d50baa71efef11af41a66b03d3/css/font-awesome.css#L14 */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .widget-valid.mod-valid i:before {
    content: "\f00c";
    color: green;
}

 .widget-valid.mod-invalid i:before {
    content: "\f00d";
    color: red;
}

 .widget-valid.mod-valid .widget-valid-readout {
    display: none;
}

 /* Widget Text and TextArea Stying */

 .widget-textarea, .widget-text {
    width: 300px;
}

 .widget-text input[type="text"], .widget-text input[type="number"]{
    height: 28px;
    line-height: 28px;
}

 .widget-text input[type="text"]:disabled, .widget-text input[type="number"]:disabled, .widget-textarea textarea:disabled {
    opacity: 0.6;
}

 .widget-text input[type="text"], .widget-text input[type="number"], .widget-textarea textarea {
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    outline: none !important;
}

 .widget-textarea textarea {
    height: inherit;
    width: inherit;
}

 .widget-text input:focus, .widget-textarea textarea:focus {
    border-color: #64B5F6;
}

 /* Widget Slider */

 .widget-slider .ui-slider {
    /* Slider Track */
    border: 1px solid #BDBDBD;
    background: #BDBDBD;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    position: relative;
    border-radius: 0px;
}

 .widget-slider .ui-slider .ui-slider-handle {
    /* Slider Handle */
    outline: none !important; /* focused slider handles are colored - see below */
    position: absolute;
    background-color: white;
    border: 1px solid #9E9E9E;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    z-index: 1;
    background-image: none; /* Override jquery-ui */
}

 /* Override jquery-ui */

 .widget-slider .ui-slider .ui-slider-handle:hover, .widget-slider .ui-slider .ui-slider-handle:focus {
    background-color: #2196F3;
    border: 1px solid #2196F3;
}

 .widget-slider .ui-slider .ui-slider-handle:active {
    background-color: #2196F3;
    border-color: #2196F3;
    z-index: 2;
    -webkit-transform: scale(1.2);
            transform: scale(1.2);
}

 .widget-slider  .ui-slider .ui-slider-range {
    /* Interval between the two specified value of a double slider */
    position: absolute;
    background: #2196F3;
    z-index: 0;
}

 /* Shapes of Slider Handles */

 .widget-hslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-top: -7px;
    margin-left: -7px;
    border-radius: 50%;
    top: 0;
}

 .widget-vslider .ui-slider .ui-slider-handle {
    width: 16px;
    height: 16px;
    margin-bottom: -7px;
    margin-left: -7px;
    border-radius: 50%;
    left: 0;
}

 .widget-hslider .ui-slider .ui-slider-range {
    height: 8px;
    margin-top: -3px;
}

 .widget-vslider .ui-slider .ui-slider-range {
    width: 8px;
    margin-left: -3px;
}

 /* Horizontal Slider */

 .widget-hslider {
    width: 300px;
    height: 28px;
    line-height: 28px;

    /* Override the align-items baseline. This way, the description and readout
    still seem to align their baseline properly, and we don't have to have
    align-self: stretch in the .slider-container. */
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;
}

 .widgets-slider .slider-container {
    overflow: visible;
}

 .widget-hslider .slider-container {
    height: 28px;
    margin-left: 6px;
    margin-right: 6px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
}

 .widget-hslider .ui-slider {
    /* Inner, invisible slide div */
    height: 4px;
    margin-top: 12px;
    width: 100%;
}

 /* Vertical Slider */

 .widget-vbox .widget-label {
    height: 28px;
    line-height: 28px;
}

 .widget-vslider {
    /* Vertical Slider */
    height: 200px;
    width: 72px;
}

 .widget-vslider .slider-container {
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 6px;
    margin-top: 6px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .widget-vslider .ui-slider-vertical {
    /* Inner, invisible slide div */
    width: 4px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-left: auto;
    margin-right: auto;
}

 /* Widget Progress Styling */

 .progress-bar {
    -webkit-transition: none;
    transition: none;
}

 .progress-bar {
    height: 28px;
}

 .progress-bar {
    background-color: #2196F3;
}

 .progress-bar-success {
    background-color: #4CAF50;
}

 .progress-bar-info {
    background-color: #00BCD4;
}

 .progress-bar-warning {
    background-color: #FF9800;
}

 .progress-bar-danger {
    background-color: #F44336;
}

 .progress {
    background-color: #EEEEEE;
    border: none;
    -webkit-box-shadow: none;
            box-shadow: none;
}

 /* Horisontal Progress */

 .widget-hprogress {
    /* Progress Bar */
    height: 28px;
    line-height: 28px;
    width: 300px;
    -webkit-box-align: center;
        -ms-flex-align: center;
            align-items: center;

}

 .widget-hprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-top: 4px;
    margin-bottom: 4px;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    /* Override bootstrap style */
    height: auto;
    height: initial;
}

 /* Vertical Progress */

 .widget-vprogress {
    height: 200px;
    width: 72px;
}

 .widget-vprogress .progress {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    width: 20px;
    margin-left: auto;
    margin-right: auto;
    margin-bottom: 0;
}

 /* Select Widget Styling */

 .widget-dropdown {
    height: 28px;
    width: 300px;
    line-height: 28px;
}

 .widget-dropdown > select {
    padding-right: 20px;
    border: 1px solid #9E9E9E;
    border-radius: 0;
    height: inherit;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    outline: none !important;
    -webkit-box-shadow: none;
            box-shadow: none;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    vertical-align: top;
    padding-left: 8px;
	appearance: none;
	-webkit-appearance: none;
	-moz-appearance: none;
    background-repeat: no-repeat;
	background-size: 20px;
	background-position: right center;
    background-image: url("data:image/svg+xml;base64,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");
}

 .widget-dropdown > select:focus {
    border-color: #64B5F6;
}

 .widget-dropdown > select:disabled {
    opacity: 0.6;
}

 /* To disable the dotted border in Firefox around select controls.
   See http://stackoverflow.com/a/18853002 */

 .widget-dropdown > select:-moz-focusring {
    color: transparent;
    text-shadow: 0 0 0 #000;
}

 /* Select and SelectMultiple */

 .widget-select {
    width: 300px;
    line-height: 28px;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    -webkit-box-align: start;
        -ms-flex-align: start;
            align-items: flex-start;
}

 .widget-select > select {
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    -webkit-box-flex: 1;
        -ms-flex: 1 1 148px;
            flex: 1 1 148px;
    outline: none !important;
    overflow: auto;
    height: inherit;

    /* Because Firefox defines the baseline of a select as the bottom of the
    control, we align the entire control to the top and add padding to the
    select to get an approximate first line baseline alignment. */
    padding-top: 5px;
}

 .widget-select > select:focus {
    border-color: #64B5F6;
}

 .wiget-select > select > option {
    padding-left: 4px;
    line-height: 28px;
    /* line-height doesn't work on some browsers for select options */
    padding-top: calc(28px - var(--jp-widgets-font-size) / 2);
    padding-bottom: calc(28px - var(--jp-widgets-font-size) / 2);
}

 /* Toggle Buttons Styling */

 .widget-toggle-buttons {
    line-height: 28px;
}

 .widget-toggle-buttons .widget-toggle-button {
    margin-left: 2px;
    margin-right: 2px;
}

 .widget-toggle-buttons .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Radio Buttons Styling */

 .widget-radio {
    width: 300px;
    line-height: 28px;
}

 .widget-radio-box {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    margin-bottom: 8px;
}

 .widget-radio-box label {
    height: 20px;
    line-height: 20px;
    font-size: 13px;
}

 .widget-radio-box input {
    height: 20px;
    line-height: 20px;
    margin: 0 8px 0 1px;
    float: left;
}

 /* Color Picker Styling */

 .widget-colorpicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-colorpicker > .widget-colorpicker-input {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 72px;
}

 .widget-colorpicker input[type="color"] {
    width: 28px;
    height: 28px;
    padding: 0 2px; /* make the color square actually square on Chrome on OS X */
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    border-left: none;
    -webkit-box-flex: 0;
        -ms-flex-positive: 0;
            flex-grow: 0;
    -ms-flex-negative: 0;
        flex-shrink: 0;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    -ms-flex-item-align: stretch;
        align-self: stretch;
    outline: none !important;
}

 .widget-colorpicker.concise input[type="color"] {
    border-left: 1px solid #9E9E9E;
}

 .widget-colorpicker input[type="color"]:focus, .widget-colorpicker input[type="text"]:focus {
    border-color: #64B5F6;
}

 .widget-colorpicker input[type="text"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    outline: none !important;
    height: 28px;
    line-height: 28px;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    font-size: 13px;
    padding: 4px 8px;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    -ms-flex-negative: 1;
        flex-shrink: 1;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-colorpicker input[type="text"]:disabled {
    opacity: 0.6;
}

 /* Date Picker Styling */

 .widget-datepicker {
    width: 300px;
    height: 28px;
    line-height: 28px;
}

 .widget-datepicker input[type="date"] {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    min-width: 0; /* This makes it possible for the flexbox to shrink this input */
    outline: none !important;
    height: 28px;
    border: 1px solid #9E9E9E;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    font-size: 13px;
    padding: 4px 8px;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
}

 .widget-datepicker input[type="date"]:focus {
    border-color: #64B5F6;
}

 .widget-datepicker input[type="date"]:invalid {
    border-color: #FF9800;
}

 .widget-datepicker input[type="date"]:disabled {
    opacity: 0.6;
}

 /* Play Widget */

 .widget-play {
    width: 148px;
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .widget-play .jupyter-button {
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    height: auto;
}

 .widget-play .jupyter-button:disabled {
    opacity: 0.6;
}

 /* Tab Widget */

 .jupyter-widgets.widget-tab {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    /* Necessary so that a tab can be shifted down to overlay the border of the box below. */
    overflow-x: visible;
    overflow-y: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar > .p-TabBar-content {
    /* Make sure that the tab grows from bottom up */
    -webkit-box-align: end;
        -ms-flex-align: end;
            align-items: flex-end;
    min-width: 0;
    min-height: 0;
}

 .jupyter-widgets.widget-tab > .widget-tab-contents {
    width: 100%;
    -webkit-box-sizing: border-box;
            box-sizing: border-box;
    margin: 0;
    background: white;
    color: rgba(0, 0, 0, .8);
    border: 1px solid #9E9E9E;
    padding: 15px;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    overflow: auto;
}

 .jupyter-widgets.widget-tab > .p-TabBar {
    font: 13px Helvetica, Arial, sans-serif;
    min-height: 25px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab {
    -webkit-box-flex: 0;
        -ms-flex: 0 1 144px;
            flex: 0 1 144px;
    min-width: 35px;
    min-height: 25px;
    line-height: 24px;
    margin-left: -1px;
    padding: 0px 10px;
    background: #EEEEEE;
    color: rgba(0, 0, 0, .5);
    border: 1px solid #9E9E9E;
    border-bottom: none;
    position: relative;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current {
    color: rgba(0, 0, 0, 1.0);
    /* We want the background to match the tab content background */
    background: white;
    min-height: 26px;
    -webkit-transform: translateY(1px);
            transform: translateY(1px);
    overflow: visible;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab.p-mod-current:before {
    position: absolute;
    top: -1px;
    left: -1px;
    content: '';
    height: 2px;
    width: calc(100% + 2px);
    background: #2196F3;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:first-child {
    margin-left: 0;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tab:hover:not(.p-mod-current) {
    background: white;
    color: rgba(0, 0, 0, .8);
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon {
    margin-left: 4px;
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-mod-closable > .p-TabBar-tabCloseIcon:before {
    font-family: FontAwesome;
    content: '\f00d'; /* close */
}

 .jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabIcon,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabLabel,
.jupyter-widgets.widget-tab > .p-TabBar .p-TabBar-tabCloseIcon {
    line-height: 24px;
}

 /* Accordion Widget */

 .p-Collapse {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Collapse-header {
    padding: 4px;
    cursor: pointer;
    color: rgba(0, 0, 0, .5);
    background-color: #EEEEEE;
    border: 1px solid #9E9E9E;
    padding: 10px 15px;
    font-weight: bold;
}

 .p-Collapse-header:hover {
    background-color: white;
    color: rgba(0, 0, 0, .8);
}

 .p-Collapse-open > .p-Collapse-header {
    background-color: white;
    color: rgba(0, 0, 0, 1.0);
    cursor: default;
    border-bottom: none;
}

 .p-Collapse .p-Collapse-header::before {
    content: '\f0da\00A0';  /* caret-right, non-breaking space */
    display: inline-block;
    font: normal normal normal 14px/1 FontAwesome;
    font-size: inherit;
    text-rendering: auto;
    -webkit-font-smoothing: antialiased;
    -moz-osx-font-smoothing: grayscale;
}

 .p-Collapse-open > .p-Collapse-header::before {
    content: '\f0d7\00A0'; /* caret-down, non-breaking space */
}

 .p-Collapse-contents {
    padding: 15px;
    background-color: white;
    color: rgba(0, 0, 0, .8);
    border-left: 1px solid #9E9E9E;
    border-right: 1px solid #9E9E9E;
    border-bottom: 1px solid #9E9E9E;
    overflow: auto;
}

 .p-Accordion {
    display: -webkit-box;
    display: -ms-flexbox;
    display: flex;
    -webkit-box-orient: vertical;
    -webkit-box-direction: normal;
        -ms-flex-direction: column;
            flex-direction: column;
    -webkit-box-align: stretch;
        -ms-flex-align: stretch;
            align-items: stretch;
}

 .p-Accordion .p-Collapse {
    margin-bottom: 0;
}

 .p-Accordion .p-Collapse + .p-Collapse {
    margin-top: 4px;
}

 /* HTML widget */

 .widget-html, .widget-htmlmath {
    font-size: 13px;
}

 .widget-html > .widget-html-content, .widget-htmlmath > .widget-html-content {
    /* Fill out the area in the HTML widget */
    -ms-flex-item-align: stretch;
        align-self: stretch;
    -webkit-box-flex: 1;
        -ms-flex-positive: 1;
            flex-grow: 1;
    -ms-flex-negative: 1;
        flex-shrink: 1;
    /* Makes sure the baseline is still aligned with other elements */
    line-height: 28px;
    /* Make it possible to have absolutely-positioned elements in the html */
    position: relative;
}

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 */",
              "ok": true,
              "headers": [
                [
                  "content-type",
                  "text/css"
                ]
              ],
              "status": 200,
              "status_text": ""
            }
          },
          "base_uri": "https://localhost:8080/",
          "height": 379
        }
      },
      "source": [
        "from IPython.html import widgets\n",
        "from IPython.display import display\n",
        "\n",
        "geo={'leapfrog':['gender','age','work_time','department']}\n",
        "\n",
        "\n",
        "\n",
        "def find_result(attri,section):\n",
        "    visualize_overall(leap_data,ratio=0.1,col=attri,attribute=section,review='review')\n",
        "\n",
        "def select_attri(company):\n",
        "    cityW.options = geo[company]\n",
        "\n",
        "#add in 'select district' function that looks in the new dictionary\n",
        "def select_section(attri):\n",
        "    districtW.options = geo2[attri]\n",
        "\n",
        "scW = widgets.Dropdown(options=geo.keys())\n",
        "init = scW.value\n",
        "cityW = widgets.Dropdown(options=geo[init])\n",
        "\n",
        "\n",
        "init2= cityW.value #new start value for district dropdown\n",
        "districtW = widgets.Dropdown(options=geo2[init2]) #define district dropdown widget\n",
        "\n",
        "j = widgets.interactive(find_result, attri=cityW, section=districtW) #define district value\n",
        "i = widgets.interactive(select_attri, company=scW)\n",
        "\n",
        "k = widgets.interactive(select_section, attri=cityW) #call everything together with new interactive\n",
        "\n",
        "display(i)\n",
        "display(j)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "6b8ecb84d1dc4defa3eee78ab7230ee3",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "interactive(children=(Dropdown(description='company', options=('leapfrog',), value='leapfrog'), Output()), _do…"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "3be05de847aa4b2885d02a060cec1ba4",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "interactive(children=(Dropdown(description='attri', options=('gender', 'age', 'work_time', 'department'), valu…"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CNBEahbSM6AM",
        "colab_type": "text"
      },
      "source": [
        "*Entity Recognition*"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zcYtk9wafziq",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import spacy\n",
        "from spacy import displacy\n",
        "from collections import Counter\n",
        "import en_core_web_sm\n",
        "nlp = en_core_web_sm.load()"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zMeyBscjgx8c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from textblob import TextBlob\n",
        "from pprint import pprint"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YMQPxc3ggFT7",
        "colab_type": "code",
        "outputId": "850863e0-ecfd-4e20-8706-7f390c077d8a",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 547
        }
      },
      "source": [
        "leap_data.head(5)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>time</th>\n",
              "      <th>gender</th>\n",
              "      <th>age</th>\n",
              "      <th>work_time</th>\n",
              "      <th>department</th>\n",
              "      <th>review</th>\n",
              "      <th>negativity</th>\n",
              "      <th>positivity</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2019/04/25 10:29:13 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>21</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>Good working environment. Nice culture. Space ...</td>\n",
              "      <td>0.003150</td>\n",
              "      <td>0.996850</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>2019/04/25 10:30:38 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>22</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>I like the company overall, it is cool place t...</td>\n",
              "      <td>0.037897</td>\n",
              "      <td>0.962103</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2019/04/25 10:33:34 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>30</td>\n",
              "      <td>5 years</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>I like Leapfrog believe on freedom, responsibi...</td>\n",
              "      <td>0.050219</td>\n",
              "      <td>0.949781</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>2019/04/25 10:38:06 AM GMT+5:45</td>\n",
              "      <td>Female</td>\n",
              "      <td>23</td>\n",
              "      <td>less than a year</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>Since this is for training the data i would li...</td>\n",
              "      <td>0.659563</td>\n",
              "      <td>0.340437</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2019/04/25 10:53:15 AM GMT+5:45</td>\n",
              "      <td>Male</td>\n",
              "      <td>24</td>\n",
              "      <td>1 years</td>\n",
              "      <td>Engineering</td>\n",
              "      <td>LF really gives individuals the flexibility to...</td>\n",
              "      <td>0.023452</td>\n",
              "      <td>0.976548</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "                              time  gender  age         work_time  \\\n",
              "0  2019/04/25 10:29:13 AM GMT+5:45    Male   21  less than a year   \n",
              "1  2019/04/25 10:30:38 AM GMT+5:45    Male   22  less than a year   \n",
              "2  2019/04/25 10:33:34 AM GMT+5:45    Male   30           5 years   \n",
              "3  2019/04/25 10:38:06 AM GMT+5:45  Female   23  less than a year   \n",
              "4  2019/04/25 10:53:15 AM GMT+5:45    Male   24           1 years   \n",
              "\n",
              "    department                                             review  negativity  \\\n",
              "0  Engineering  Good working environment. Nice culture. Space ...    0.003150   \n",
              "1  Engineering  I like the company overall, it is cool place t...    0.037897   \n",
              "2  Engineering  I like Leapfrog believe on freedom, responsibi...    0.050219   \n",
              "3  Engineering  Since this is for training the data i would li...    0.659563   \n",
              "4  Engineering  LF really gives individuals the flexibility to...    0.023452   \n",
              "\n",
              "   positivity  \n",
              "0    0.996850  \n",
              "1    0.962103  \n",
              "2    0.949781  \n",
              "3    0.340437  \n",
              "4    0.976548  "
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "RRJSqnrmgR4p",
        "colab_type": "code",
        "outputId": "4f95b6ce-272c-4548-bbf7-56c9f1d444bb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "doc = nlp(''.join(list(leap_data[leap_data['age']==21]['review'])))\n",
        "doc"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Good working environment. Nice culture. Space to grow.Up to the point, i like the environment , projects here are so engaging and i see myself growing over the time. Hope this type of environment continue to happen.client expect more things within a short period of time, on one hand it makes me grow rapidly but on the other hand, i sometime feels like if there is more time i could make project which i am currently working on more efficient and highly optimize.sometime it is more harder to manage everythingMeeting new people during time makes me realise the responsibility Everyone is supportive here. I see my growth"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 84
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Eq_K1Vkpgczq",
        "colab_type": "code",
        "outputId": "b7399aaa-972e-4131-dee4-2a8f07b65474",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "from collections import Counter\n",
        "labels = [x.text for x in doc.ents if len(x.text)>2]\n",
        "labels"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4v6lCUbDg89c",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "# b = TextBlob()\n",
        "# pprint(b.correct())\n",
        "for item in labels:\n",
        "  b = TextBlob(item)\n",
        "  pprint(b.correct())\n",
        "  "
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Id7oNZUnh4YB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        ""
      ],
      "execution_count": 0,
      "outputs": []
    }
  ]
}