Text Classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f27e5c44",
   "metadata": {},
   "source": [
    "# Violence Tweet Classification"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "573b4e69",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import os"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e88b1f02",
   "metadata": {},
   "source": [
    "## Formats the data into a csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "234bb18e",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_path = 'data/train/'\n",
    "test_path = 'data/test/'\n",
    "\n",
    "def get_texts_to_csv(path, csv_file='data.csv'):\n",
    "    import csv\n",
    "    with open(csv_file,mode='w',newline='') as cf:\n",
    "        writer = csv.writer(cf)\n",
    "        writer.writerow([\"Label\",\"Text\"])\n",
    "        for label in os.listdir(path):\n",
    "            file_path = path+label\n",
    "            #with open(file_csv,'w+') as \n",
    "            for file in os.listdir(file_path):\n",
    "                file_path = file_path+'/'+file\n",
    "                with open(file_path,'r') as txt_file:\n",
    "                    text = txt_file.read()\n",
    "                    writer = csv.writer(cf)\n",
    "                    writer.writerow([label,text])\n",
    "                file_path = path+label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ad9fdb21",
   "metadata": {},
   "outputs": [],
   "source": [
    "get_texts_to_csv(train_path,csv_file = 'train_data.csv')\n",
    "get_texts_to_csv(test_path,csv_file = 'test_data.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "635414b5",
   "metadata": {},
   "source": [
    "## Reading the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0e387d0b",
   "metadata": {},
   "outputs": [
    {
     "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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>emotional_violence</td>\n",
       "      <td>he insulted me and then blocked me so i can t ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>emotional_violence</td>\n",
       "      <td>can u plss cite me how he insulted gods of kaa...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>emotional_violence</td>\n",
       "      <td>i don t care how much i know you or love you w...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>emotional_violence</td>\n",
       "      <td>re how that alledged transwoman who wanted to ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>emotional_violence</td>\n",
       "      <td>siberia what it s okay for him to say a bad wo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31715</th>\n",
       "      <td>Harmful_Traditional_practice</td>\n",
       "      <td>i was incredibly moved by the story of f a col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31716</th>\n",
       "      <td>Harmful_Traditional_practice</td>\n",
       "      <td>uganda fgm ban why i broke the law to undergo ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31717</th>\n",
       "      <td>Harmful_Traditional_practice</td>\n",
       "      <td>dear brenden my name is shagufa habibi into or...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31718</th>\n",
       "      <td>Harmful_Traditional_practice</td>\n",
       "      <td>i was born in congo but when i was years old m...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31719</th>\n",
       "      <td>Harmful_Traditional_practice</td>\n",
       "      <td>am i the only one that supports a day were wom...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31720 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              Label  \\\n",
       "0                emotional_violence   \n",
       "1                emotional_violence   \n",
       "2                emotional_violence   \n",
       "3                emotional_violence   \n",
       "4                emotional_violence   \n",
       "...                             ...   \n",
       "31715  Harmful_Traditional_practice   \n",
       "31716  Harmful_Traditional_practice   \n",
       "31717  Harmful_Traditional_practice   \n",
       "31718  Harmful_Traditional_practice   \n",
       "31719  Harmful_Traditional_practice   \n",
       "\n",
       "                                                    Text  \n",
       "0      he insulted me and then blocked me so i can t ...  \n",
       "1      can u plss cite me how he insulted gods of kaa...  \n",
       "2      i don t care how much i know you or love you w...  \n",
       "3      re how that alledged transwoman who wanted to ...  \n",
       "4      siberia what it s okay for him to say a bad wo...  \n",
       "...                                                  ...  \n",
       "31715  i was incredibly moved by the story of f a col...  \n",
       "31716  uganda fgm ban why i broke the law to undergo ...  \n",
       "31717  dear brenden my name is shagufa habibi into or...  \n",
       "31718  i was born in congo but when i was years old m...  \n",
       "31719  am i the only one that supports a day were wom...  \n",
       "\n",
       "[31720 rows x 2 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data = pd.read_csv('train_data.csv')\n",
    "train_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7a453b96",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data.Label = train_data.Label.astype('category')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "2a3820ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_data.Label.hist(xrot=75)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec5e1bb",
   "metadata": {},
   "source": [
    "Most of them are sexual violence, then physical violence. The least are emotional violence, economic violence and harmful traditional practice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "de178d67",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "\n",
    "def clean_text(text):\n",
    "    # Convert text to lowercase\n",
    "    text = text.lower()\n",
    "    # Remove special characters and numbers using regex\n",
    "    text = re.sub(r'[^a-zA-Z\\s]', '', text)\n",
    "    # Tokenize the text\n",
    "    words = word_tokenize(text)\n",
    "    # Remove stopwords\n",
    "    stop_words = set(stopwords.words('english'))\n",
    "    words = [word for word in words if word not in stop_words]\n",
    "    # Lemmatize the words\n",
    "    lemmatizer = WordNetLemmatizer()\n",
    "    words = [lemmatizer.lemmatize(word) for word in words]\n",
    "    # Join the cleaned words back into a sentence\n",
    "    cleaned_text = ' '.join(words)\n",
    "    return cleaned_text"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f5ab1b36",
   "metadata": {},
   "source": [
    "## Cleaning The Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "80971538",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_data['Text'] = train_data['Text'].apply(clean_text)\n",
    "test_data = pd.read_csv('test_data.csv')\n",
    "test_data['Text'] = test_data['Text'].apply(clean_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0015cc3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter\n",
    "def word_count(label):\n",
    "    if label=='all':\n",
    "        texts = train_data['Text'].copy()\n",
    "    else:\n",
    "        texts = train_data['Text'][train_data['Label']==label].copy()\n",
    "    w_count = Counter()\n",
    "    for tweet in texts:\n",
    "        for word in tweet.split():\n",
    "            w_count[word]+=1\n",
    "    return w_count"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "efddf73d",
   "metadata": {},
   "outputs": [],
   "source": [
    "label = ['emotional_violence','sexual_violence','Physical_violence','economic_violence','Harmful_Traditional_practice']\n",
    "emo_vio = word_count('emotional_violence')\n",
    "sexual_vio = word_count('sexual_violence')\n",
    "phy_vio = word_count('Physical_violence')\n",
    "eco_vio = word_count('economic_violence')\n",
    "ht = word_count('Harmful_Traditional_practice')\n",
    "wordcount = word_count('all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5aae830f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_top_k_words(wordcount,label='',k=20):\n",
    "    # Get the top k most common words and their respective counts\n",
    "    most_common_words = wordcount.most_common(k)\n",
    "    words, counts = zip(*most_common_words)\n",
    "    # Create the bar plot\n",
    "    plt.figure(figsize=(10, 6))  # Adjust the figure size as needed\n",
    "    plt.bar(range(len(words)), counts, tick_label=words)\n",
    "    plt.xticks(rotation=45, ha='right')  # Rotate the x-axis labels for better readability\n",
    "    plt.xlabel('Words')\n",
    "    plt.ylabel('Frequency')\n",
    "    plt.title(f'Top {k} Most Common Words -- {label}')\n",
    "    plt.tight_layout()  # To prevent clipping of labels\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55a57034",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "5523d701",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_k_words(wordcount,k=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6751fe54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_k_words(emo_vio,label='emotional violence',k=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "ba49f182",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_k_words(phy_vio,label='physical violence',k=30)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "f4324f17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_k_words(sexual_vio,label='sexual violence',k=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "e33ce7d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_k_words(eco_vio,label='economical violence',k=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a6718a87",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_top_k_words(ht,label='Harmfull Traditional Violence',k=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6c14a33d",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train = train_data['Text']\n",
    "y_train = train_data['Label']\n",
    "X_test = test_data['Text']\n",
    "y_test = test_data['Label']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0a605dc8",
   "metadata": {},
   "source": [
    "## Building ML Model :  Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e8d5ddb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.feature_extraction.text import TfidfVectorizer\n",
    "from sklearn.pipeline import make_pipeline\n",
    "from sklearn.metrics import ConfusionMatrixDisplay, confusion_matrix,classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "3427e963",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline(steps=[('tfidfvectorizer', TfidfVectorizer()),\n",
       "                ('logisticregression',\n",
       "                 LogisticRegression(class_weight='balanced'))])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "lr = make_pipeline(TfidfVectorizer(),LogisticRegression(class_weight='balanced'))\n",
    "lr.fit(X_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "97a60055",
   "metadata": {},
   "outputs": [],
   "source": [
    "def classification_metrics(model,X_test,y_test):\n",
    "    print(classification_report(y_test,model.predict(X_test)))\n",
    "    cm = confusion_matrix(y_test,lr.predict(X_test))\n",
    "    cmd = ConfusionMatrixDisplay(cm,display_labels=label)\n",
    "    cmd.plot(xticks_rotation='vertical')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "0c6c2418",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                              precision    recall  f1-score   support\n",
      "\n",
      "Harmful_Traditional_practice       0.95      1.00      0.97        38\n",
      "           Physical_violence       0.98      1.00      0.99      1189\n",
      "           economic_violence       0.84      1.00      0.91        43\n",
      "          emotional_violence       0.89      1.00      0.94       130\n",
      "             sexual_violence       1.00      0.99      1.00      6530\n",
      "\n",
      "                    accuracy                           0.99      7930\n",
      "                   macro avg       0.93      1.00      0.96      7930\n",
      "                weighted avg       0.99      0.99      0.99      7930\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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emHG8QyXdFF4fIOklSa9JelxSozdIwnk+klQR1jtKmiGpStJNkg4N5XuG406VdIOkdjmOtY+kFyS9KulOSWuF8o8knR/Kp0oaFMrXknRjKHtD0o8KHcflN2iTOdTXiyN+9WOOPumHHHrAW6zbcwEAf75yV447/SBO+8P32GLQ5+y12wexxZlrfvWk1W4apCnWBvX14sS9B3LktoMZOGQxGwz8Nu6QVtJwzzHtNUdPjs1jP2CWmW1lZpsDjwJXAYea2bbADcCFZvYNcBJwk6QjgHXM7F+NHPtZYAcz2xoYA5zRWDDhPK8D3w1FBwDjzKymYRtJ7YnGHTzczLYgalU4IfM4kroD5wB7mdk2wGTgNxmbzAnl1wGnh7L/Bb4xsy3MbEtgYhHHyTzncZImS5pcw9LGPmqrtscuHzB5Sl/q6iqYN78Db03ryaYbzwVg7tdR7eHbJVVMfHYjBm3yZWxxzpldRY8+y5avd+9dw9zPktf8C+mKNdui+ZW8/sJabLf7grhDWYUnR5fPVGAvSX+RtCvRFCqbE81FNoUoMfQDMLPHwvbXAL8o4tj9gHGSpgK/AzYrMqY7gMPD6yPCeqaBwIdm9l5YvxnYLWubHYDBwHPhc4wANsh4/57w8xVgw/B6L6LPBoCZfV3EccjYfpSZDTWzoVWsUpEtK1/M6cSQzWcDRvt2NXxnwJfM+LQLFRX1dOm8BIh6tA7bdiYfzVgntjinTelI3/7L6LXeUtpU1TP8oHm8OD73PdS4pSlWgK7VtXTqEo2j3bZ9PdvsupAZ05PVecjvObq8zOw9SdsC3wf+DDwGvGVmO2ZvG5o6vwN8C1SzYrbqzMadzN/+q4DLzOx+ScOB84oM637gz5KqgW2BidmhFHEMAY+Z2U/yvN9Qtatjxe+WWHVS0caO0yLOvPZjttxxIV2ra/nP5LcZfWkvxt3erUVj+P2pT7Hl4M/p2nkJt113J7eMHcKChW0Z+T8v07XLEv505gT+76Nqzrpob+57dBC/O/E5/nXpfUgw7olN+PCTatq3q+HPZz9Gm0qjoqKe16b24eHHB7To58hUXyeuObsvF932ARWVMH5MNR+/l6wv8AZpihWgulcNp1/xCRUVUFEBTz/QlZce7xJ3WKuwhCe+YnhybAaS+gBfmdl/wr3D44AeknY0sxckVQGbmtlbwGnAO8DvgRvCNjVEk3l+B5gGHAI0tJ10BT4Nr0dQJDNbKOll4ArgwYxpXBq8C2woaRMzmw78DHgqa5sXgWsatpHUEeiXUdvMZTxR0/Gvw7VZZzWPU3IXn5izstqiLrriuznLn5u0amxLllZxweXDc5aPPPOAUoe2RiZN7MKkicn70s4lTbF++E4HRu4TzzO5TeEj5Lh8tgD+JqkeqCG6d1cLXCmpK9F1/7ukGqKm1O3NbIGkp4maXM8FzgQeBGYQTe7Z0GHlPOBOSZ8SJZn+TYjrDuBOYHj2G2a2RNLPw7HbAJOAf2Rt86WkY4DbMzrrnAMUSmp/IkqEbxLVKM83s3tW4zjOuRQwg7r69N+xkyW9a5ZzQRdV2zDlnMItcep3GRJ3CE1S8eyUuENwCfCSTWC+fbVG1b61Nu1tW1xdXKPWi/v+5RUzS+Qz1F5zdM45V1J+z9EljqSzgcOyiu8Ms2M751yz8rFVXSKFJOiJ0DkXD0v+QArF8OTonHOuZAyoawXDx3lydM45V0LJf8C/GJ4cnXPOlZQ3qzrnnHNZvLeqc845l8HMk6Nzzjm3itZwzzH9XYqcc84lSn29ilqKIakyzDP7YFivlvSYpPfDz3Uytj1L0vQwT+6+GeXbhjllp0u6Uso1k+fKPDk655wrGUOYFbcU6VSiyRkanAlMMLMBwISwjqTBRNPxbUY0p+61kirDPtcRTQAxICz7NXZST47OOedKyopcGiOpH/AD4PqM4oOI5psl/Dw4o3yMmS01sw+B6cD2knoDXczsBYsGE78lY5+8/J6jc8650mlah5zukiZnrI8ys1EZ638HzgA6Z5T1MrPZAGY2W1LPUN6XaKaiBjNDWQ0r5snNLC/Ik6NzzrnSKv45xzn5ZuWQtD/whZm9EiZ2b0yujGwFygvy5Oicc66kSvQox87AgZK+D7QHukj6D9FE8L1DrbE38EXYfiawXsb+/YBZobxfjvKC8iZHSVdRILua2SmNHdy5cpW6+REb77yXLK1hCJZWyqDonqgFj2N2FnAWQKg5nm5mR0n6GzACuDj8vC/scj9wm6TLgD5EHW9eNrM6SQsk7QC8BBwNXNXY+QvVHCcXeM8555xblQHN+5zjxcBYSccCnxCm6DOztySNBd4GaoGRZlYX9jkBuAnoADwSloLyJkczuzlzXVInM1vU9M/hnHOunJS6Ym9mTwJPhtdzgT3zbJdzyj4zmwxs3pRzNvooh6QdJb1NeM5E0laSrm3KSZxzzpWRUj3LEaNinnP8O7AvMBfAzF4HdmvGmJxzzqVWyQcBiEVRvVXNbEbWaDt1+bZ1zjlXxgysBB1y4lZMcpwhaSfAJLUFTmHloXycc865FRLeZFqMYppVjwdGEo0o8CkwJKw755xzOajIJbkarTma2RzgyBaIxTnnXGtQDjVHSRtJekDSl5K+kHSfpI1aIjjnnHMpVCa9VW8DxgK9iUYduBO4vTmDcs45l1INgwAUsyRYMclRZjbazGrD8h8Sn/Odc87FxeqLW5Ks0Niq1eHlE5LOBMYQJcXDgYdaIDbnnHNplPBaYTEKdch5hZWn+/hVxnsGXNBcQTnnnEsvtYK2xUJjq/ZvyUCcc861AinobFOMokbIkbQ5MJhoTi0AzOyW5grKOedcWiW/s00xGk2Oks4FhhMlx4eB7wHPAp4cnXPOraoV1ByL6a16KNH0IJ+Z2c+BrYB2zRqVc8659KovckmwYppVvzWzekm1kroAXwA+CIBLvaHD53P8BbOorDAeub2asVf3ijukvNISa0WFcdUj7zH3syr+MGIjjv7dbHbc5xvMYN6cKi45bX2++rwq7jBXkpZr2yDx8Tb/ZMctopia42RJawP/IurB+irwcnMG5Vxzq6gwRl70Kecc2Z9fDh/I7gfNY/0BS+IOK6c0xXrwL75kxvsrGpbuuq4nJ+w9iBP3GcRLj3fhqNM+izG6VaXp2kJ64pUVtyRZo8nRzE40s3lm9g9gb2BEaF4tW5LqJE2R9KakOyV1lLShpDdLcOzjJR29mvsuXI19hkq6spFtjpF09erElFQDt17MrI/a8tkn7aitqeDJ+9Zmx32/iTusnNISa/fey9h+z/k8cnu35WWLF1Yuf92+Y33JZ4hfU2m5tg1SE28rGD6u0CAA2xR6z8xebZ6QUuFbMxsCIOlWoplL7inFgcMfIS3GzCYDk1vynEnQbd0avpzVdvn6nNlVDNpmcYwR5ZeWWI8//1Ou/1MfOq618nSvx/y/2ex16Fcsml/JGYdtElN0uaXl2jZIW7xpVqjmeGmB5ZLmDy01ngEa/sdXSvqXpLckjZfUQdLGkpb/ISFpgKRXwuuLJb0t6Q1Jl4Sy8ySdHl5vIulxSa9LejUcay1JE8L6VEkHFROkpDskfT9j/SZJP5I0XNKDoaxa0n9DPC9K2jLHcXpIulvSpLDsnBH3DZKelPSBpFMy9jk6HPN1SaMLHSfH+Y6TNFnS5BqWFvNRi6Ict0SSVqtpkIZYh+31DfPmtGH61I6rvHfTX3pz1HabMfHedTjw51/GEF1+abi2mdISr+pV1JJkhQYB2L0lA0kjSW2IHm15NBQNAH5iZr+UNBb4kZn9R9I3koaY2RTg58BNYXi+Q4BBZmbhvm62W4GLzexeSe2J/phZBhxiZvMldQdelHS/WaP/RcYQDf33cJi0ek/gBGBYxjbnA6+Z2cGS9iB6XGdI1nGuAC43s2clrQ+MA74T3hsE7A50BqZJug7YFDgb2NnM5mQMS1joOMuZ2ShgFEAXVZfsa2DO7Cp69Fm2fL177xrmfpasjiIN0hDr4KGL2GGf+Wy3x1u0bWd07FzHGVd+zF9P2WD5Nk/cuw4X3PIBoy/tHWOkK0vDtc2UinhT0GRajGI65LhVdZA0hag58hPg36H8w5AAIeq8tGF4fT3wc0mVRAnqNmA+sAS4XtIPgZXaRiR1Bvqa2b0AZrbEzBYTDed3kaQ3gMeJJqEuprvaI8AektoRJfSnzezbrG12AUaH800EuknqmrXNXsDV4fPfD3QJsQI8ZGZLwxygX4S49gDuCmWY2VdFHKfZTZvSkb79l9FrvaW0qapn+EHzeHF89kdNhjTEeuPFfThq6GaM2GEz/nziBrz+XGf+esoG9Om/ora/wz7fMOP/kvUUWBqubabUxNua7zm6gpbfc2ygqL0js92vDugQXt8NnAtMBF4xs7lhn+2JanBHACcRJZLlh8xz7iOBHsC2ZlYj6SMyRi7Kx8yWSHoS2JcoQeeadizXObN/hSuAHbMTa57P3yYcM9d/g5zHaSn1deKas/ty0W0fUFEJ48dU8/F7jV7GWKQp1mzHnjWLfhsvpb4evvi0LVee2S/ukFaStmublniT3hO1GJ4cW0BITOOA64BjASStBXQ0s4clvQhMz9pnvqSZkg42s/+GGl8l0BX4IiTG3YENKN4Y4BfAUOCYHO8/TZR8L5A0HJgT4sjcZjxRIv9b+BxDMmrLuUwA7pV0uZnNlVQdao9NPU7JTZrYhUkTu7TkKVdbmmJ944XOvPFC1AhwwXHJH6I5TdcWUhJvK0iOjTarKnKUpD+E9fVDjcc1za1EvzLjw3pn4MHQPPoUcFqOfX4GnBK2eR5YNxxnqKTJRIns3SbEMB7YDXjczJbleP+8cOw3gIuBETm2OaVhG0lvE/XUzcvM3gIuBJ6S9Dpw2eocxzmXIiVqVpXUXtLLoTPfW5LOD+XVkh6T9H74uU7GPmdJmi5pmqR9M8q3DZ0Yp0u6UsrVvSnj3I314widKuqBPczsOyGI8Wa2XeMfzTVQ1AO1q5n9b9yxpFUXVdsw7Rl3GK1T4e+J5EliF81W4CWbwHz7ao1+Gdr3W8/6nfKborb9v//3m1fMbGi+90MC62RmCyVVEY3rfSrwQ+ArM7tY0XzD65jZ/5M0mOiW0fZAH6J+GZuaWZ2kl8O+LxKNE36lmT2S79zFdMgZZmYjiTqPYGZfA20L7+IySboXOJqoh6ZzzrVuJao5WqRhcJOqsBhwEHBzKL8ZODi8PggYEzoGfkh0u2p7Sb2BLmb2QujZf0vGPjkVc8+xJvSyNIieTyPxQ8Ymi5kd0lLnkrQFocdphqVmNizX9s45V2ql7JAT8s8rRM+TX2NmL0nqZWazAcxstqSeYfO+RDXDBjNDWU14nV2eVzHJ8UrgXqCnpAuJZuk4p4j9XAzMbCqrPpvonHMtp/jk2D30n2gwKjzbvOJQZnXAkPAs+L2K5hfOJ1+P+2J64q+k0eRoZrcqGtFlz3CCg83sncb2c845V4aaNqj4nEL3HFc6rNm88DjafsDnknqHWmNvoueqIaoRrpexWz9gVijvl6M8r2J6q65P9ID6A0QPay8KZc4559yqSjSfYxhmcu3wugPR4CHvEuWiht70I4D7wuv7gSMktZPUn2jUspdDE+wCSTuETj5HZ+yTUzHNqg+xolraHugPTAM2K2Jf55xzZaaE9xx7AzeH+44VwFgze1DSC8BYSccSjVJ2GESPjoWhO98GaoGRoVkWouEybyIanOWRsORVTLPqFpnrimbr+FXxn80555xrOjN7A9g6R/lcolt9ufa5kOjZ6uzyyUCh+5UrafIIOWb2qiR/xtE551xureAx1EaTo6TMpzkrgG2AZM0745xzLhma1iEnsYqpOWbOlFBLdA/y7uYJxznnXOq19uQYboKuZWa/a6F4nHPOpZgAtYJhYvImR0ltzKw2dMBxzjnnitPKa44vE91fnCLpfuBOYFHDm2Z2TzPH5pxzLm3K6J5jNTCXaCLehucdDfDk6JxzblWtPDn2DD1V32TVselawUd3zjnXLFpBhiiUHCuBtViNAVudcymTsvkR1a5d3CEUzZYujTuEFtfam1Vnm9kfWywS55xz6We0ikkNCyXHlE0N7pxzLglae80x57h1zjnnXEGtOTma2VctGYhzzrnWobXXHJ1zzrmm8+TonHPOraAyGgTAOeecK54nR+ecc25lXnN0zjnnsnlydM4557J4cnTOOecyeIcc55xzblWterJj55xzbrV4zdE555xbmTerOuecc5kMrzk655xzq2gFybEi7gCci8vQ4fO5/pl3ufG5d/jxSZ/HHU5BaYoVkhnvaX/5gDGTXuUfj05dXnb0b2Zy3SNTueahN7nwlnep7rls+XuHnzCLG554nesnvMG2u82LIeLcknhtM4kVQ8g1tjR6LGk9SU9IekfSW5JODeXVkh6T9H74uU7GPmdJmi5pmqR9M8q3lTQ1vHelpILTMnpydGWposIYedGnnHNkf345fCC7HzSP9QcsiTusnNIUKyQ33sfu7s45xwxcqeyuUb054XtbMPIHm/PyxLU58pRPAVh/k2/57gFz+dW+W3D2iIGM/OPHVFTEXx1K6rXNpnorailCLfBbM/sOsAMwUtJg4ExggpkNACaEdcJ7RwCbAfsB10qqDMe6DjgOGBCW/Qqd2JNjCkk6UNKZJTpWH0l3NbLNcEkPluJ8STFw68XM+qgtn33SjtqaCp68b2123PebuMPKKU2xQnLjffPlLiyYt/KdpMULK5e/bt+hHrOoMrHj3l/z1APdqFlWwecz2zH743YM3Gphi8abS1Kv7UqsCUtjhzKbbWavhtcLgHeAvsBBwM1hs5uBg8Prg4AxZrbUzD4EpgPbS+oNdDGzF8zMgFsy9snJk2MKmdn9ZnZxiY41y8wOLcWx0qTbujV8Oavt8vU5s6vo3rsmxojyS1OskL54R5w+g9HPTWH3g+Yy+vK+AHRbdxlfzs78DG3ptm78nyEt17YJzardJU3OWI7Le0xpQ2Br4CWgl5nNhiiBAj3DZn2BGRm7zQxlfcPr7PK8PDkWIOkoSS9LmiLpn5IqJe0n6VVJr0uaELarlvRfSW9IelHSlqH8PEk3SHpS0geSTsk49m8kvRmWX4eyDSW9K+n6UH6rpL0kPRfa1rcP2x0j6erwupeke0M8r0vaKc9n+YukEzPWz5P023DON0NZe0k3hnb51yTtnuM4ncJnmhS2OSgjpnskPRpi/WvGPrmuWc7jtJRcdxss/laznNIUK6Qv3psvWY+f7TyEJ+7rxgFHR/fwkvoZkhrXKoqvOc4xs6EZy6hch5O0FnA38Gszm1/gzLnuI1qB8rw8OeYh6TvA4cDOZjYEqAOOAv4F/MjMtgIOC5ufD7xmZlsCvyeqsjcYBOwLbA+cK6lK0rbAz4FhRO3ov5S0ddh+E+AKYMuw70+BXYDTw7GzXQk8FeLZBngrz0caEz5Pgx8Dd2ZtMxLAzLYAfgLcLKl91jZnAxPNbDtgd+BvkjqF94aEc2wBHB5upvcg9zUrdJzlJB3X8FdlDUvzfLSmmzO7ih59VnS+6N67hrmfVZXs+KWUplghffE2eOL+buyy39dAVFPs0TvzMyzjq8/j/wxpubal6pADIKmKKDHeamb3hOLPQ1Mp4ecXoXwmsF7G7v2AWaG8X47yvDw55rcnsC0wSdKUsH4K8HRoy8bMvgrb7gKMDmUTgW6Suob3Hgrt33OI/gF7he3vNbNFZrYQuAfYNWz/oZlNNbN6okQ3IbSRTwU2zBHnHkQ3mjGzOjPLeQPCzF4DeoZ7jFsBX5vZJ1mbZX6Od4GPgU2zttkHODNckyeB9sD64b0JZvaNmS0B3gY2IEr+ua5ZoeNkxj2q4a/KKtrl+mirZdqUjvTtv4xe6y2lTVU9ww+ax4vjuza+YwzSFCukK94+G67ozLLDXl8z44Pob8EXH1+b7x4wl6q29fTqt5Q+Gy5l2utrxRXmcqm4thYNH1fM0pjQo/TfwDtmdlnGW/cDI8LrEcB9GeVHSGonqT9Rx5uXQ9PrAkk7hGMenbFPTv6cY34Cbjazs5YXSAcS1bhybZut4e+izOpOHdE1L9SFOHP7+oz1etb83+su4FBgXaKaZLaCXZsztvmRmU1bqVAaRv7PmutvxJzHaSn1deKas/ty0W0fUFEJ48dU8/F72ZXkZEhTrJDceM+8Yjpb7rCALuvUMvr51/jP3/ux3fB59NtoCWbw+aftuOrsDQH4+P2OPP1QN/45fmr0ef6wAfX1xfz3aF5JvbarKF1T787Az4Cp4Q9piFrQLgbGSjoW+ITQImVmb0kaS/THeS0w0szqwn4nADcBHYBHwpKXJ8f8JgD3SbrczL6QVA28Dlwjqb+ZfSipOtSEngaOBC6QNJyoHX2+8j9G8zRwk6SLiZLEIUS/AKsb5wnA3xV1We5UoE1+DFETZ3fgu3niOhKYKGlToprcNGDHjG3GASdLOtnMTNLWoVaazwvkvmZNPU7JTZrYhUkTu7TkKVdbmmKFZMZ78ambrFI2bmyPvNuPuaYPY67p05whrZYkXttMDc85loKZPUv+P9r3zLPPhcCFOconA5sXe25vVs3DzN4GzgHGS3oDeAzoTfSczD2SXgfuCJufBwwN213Miup+vmO/SvQXzMtEPa+uX4PEcCqwu6SpwCtEz/fkO+9bQGfg04aeXlmuBSrDse4AjjGz7Bt9FwBVwBuhI88FhYIzsy/Jfc2adBznXIqYFbckmCzhATrXoIuqbZhy/rHoyozale7+c3OzpaXrSNbcXrIJzLev1qj9eK1u69kW+/66qG1fvP30V8xs6Jqcr7l4s6pzzrnS8YHHXRJJ6kZ0HzLbnmY2t6Xjcc6VH9U1vk3SeXJsZUICHBJ3HM658uXzOTrnnHOZjMR3timGJ0fnnHMl5TVH55xzLpsnR+ecc26FUg4CECdPjs4550rHip7IONE8OTrnnCut9OdGT47OOedKy5tVnXPOuUwGeLOqc845lyX9udGTo3POudLyDjnOOedcFr/n6JxzzmXyWTmccy4eaZojcdysKXGHULTt9128xseIBgFIf3b05Oicc6606uMOYM15cnTOOVdSXnN0zjnnMpn5c47OOedcNu+t6pxzzmXzZlXnnHMug4FaQYecirgDcM4518qYFbc0QtINkr6Q9GZGWbWkxyS9H36uk/HeWZKmS5omad+M8m0lTQ3vXSlJjZ3bk6NzzrnSsiKXxt0E7JdVdiYwwcwGABPCOpIGA0cAm4V9rpVUGfa5DjgOGBCW7GOuwpOjc865klJ9fVFLY8zsaeCrrOKDgJvD65uBgzPKx5jZUjP7EJgObC+pN9DFzF4wMwNuydgnL7/n6JxzrnSM5h4EoJeZzQYws9mSeobyvsCLGdvNDGU14XV2eUGeHJ1zzpWMsKYMAtBd0uSM9VFmNmq1T70qK1BekCdH55xzpVV8cpxjZkObePTPJfUOtcbewBehfCawXsZ2/YBZobxfjvKC/J6jc8650ipRb9U87gdGhNcjgPsyyo+Q1E5Sf6KONy+HJtgFknYIvVSPztgnL685OuecKx0D1ZVmEABJtwPDiZpfZwLnAhcDYyUdC3wCHAZgZm9JGgu8DdQCI82sLhzqBKKerx2AR8JSkCdH55xzpVWiEXLM7Cd53tozz/YXAhfmKJ8MbN6Uc3tydM45V0Jr1GSaGJ4cnXPOlY7hydG5NPvNZZ8wbK8FzJvThl/tMTDucFaRK76NBn/LyRfPpEOnej6f2Za/jFyfxQsrGzlSyzvkl1/yvZ/OxUx8+G57Lj1tPWqWJqf/X75/+wP/50sO/Plc6mvhpQld+Pef+rRoXAu/qeTy09fjo3fbI0VxDh66GIA7r+vB9Rf0ZezUqXTtVkdtDVx++vpMn9qBulqx12FfccTJUcfNmmXimrP78sYLayHBMWfOZtcffNNyH8THVnUuvcbfUc3ZR/aPO4y8csX360tmcMNFvTl+z4E890gXDj3hizx7x6fbujUcfOwcTvrepvxqj4FUVhjDD5oXd1gryXVtt9ppITvtO58T9tyU43YfxF3X9WjxuK77Q1+GDp/Pv595l+sen8b6A5YC8MWnVbz2dGd69l22fNunH1ibmqXinxOncfWj03h4dHc+m9EWgNuv6MXa3Wu54dl3+ddT77LlDgtb9HPIrKglyZotOUpamLV+jKSrm+lcu0p6S9IUSR0KbPekpJzP1Eh6Kez/iaQvw+spkjZcjXhuknRoeH19GPMPSb/P2u75ph67KeduSZJ+LaljxvrDktZu6Tia4s2X1mLB18ltPMkVX7+NlzL1xU4AvPZ0Z3ZpydpAE1S2Mdq1r6ei0mjXoZ65n1fFHdJKcl3b/Y+ewx1X96RmWfS1+M3clo150YIKpr7Yif1+Go2WVtXWWKtr1Nnyn+f15dhzZpE5XLYESxZXUFcLy5ZU0KZtPR3XirYfN6Z6eS2yogK6dqujxRhQV1/ckmCJrTlKasq31pHAJWY2xMy+XZ3zmdkwMxsC/AG4IxxriJl9tBrxZB73F2b2dlj9fdZ7O63OMZvban7WXwPLk6OZfd/M5pUqJhf5eFp7dtx3PgC77v8NPfrUxBzRquZ+VsVd1/Vg9KR3uH3KWyxaUMmrT3WOO6xG9d14KZsPW8QVD77P3+6ezqZbLW7R83/2cTu6dqvl0tPW58S9N+Xy367HksUVvDCuC93XrWHjzZastP2u+8+jfcd6fjJkc47abjCHHv8lXdapY+E3UTP7zX9dl5H7bMqfjtuQr79syT8Ci3zGsVxrjoVIOiDU1F6T9LikXqH8PEmjJI0HbgnrN0saL+kjST+U9Ncw9cijkqok/QL4MfAHSbdKGi7pwYxzXS3pmNWMMzueDSU9I+nVsOwUtlM4z9uSHgJ6ZhzjSUlDJV0MdAi10VvDewsz9v+bpDfDZzs8lA8P+98l6d3w+RTe+4OkSWGfUcVMwRL2+0jSXyS9HJZNQvlNki6T9ATwF0nbS3o+/Bs9L2lg2K5S0iUhzjcknSzpFKAP8ETYv+E83cPro8O2r0saHcp6SLo7fIZJknbOE+9xkiZLmlzD0qb9A7ZCl/1mPQ44Zg5XP/oeHdaqo3ZZUf/sLWqtrrXsuO98Rgz7Dj/dejPad6xnjx9+HXdYjaqshLW61nHq/ptw/QV9OPufH1Ps1BGlUFcH06d2ZP+j53DtY+/RvmM9oy9Zl9uv7MXRv5u9yvbTXutERaVx22tvcstL73D3P3ow++O21NXCnNltGbzdIq4Z/x7f2XYR//pjy947bQ3JsTn/nOggaUrGejXRCAYAzwI7mJmF5HYG8Nvw3rbALmb2raTzgI2B3YHBwAvAj8zsDEn3Aj8ws+sl7QI8aGZ3SRpe4s+RGU9HYG8zWyJpAHA7MBQ4BBgIbAH0InoI9YbMg5jZmZJOCrXTbD8EhgBbAd2BSZKeDu9tTTQFyyzgOWBnout3tZn9ESAknP2BB4r8TPPNbHtJRwN/D/sCbArsZWZ1kroAu5lZraS9gIuAHxFN+9If2Dq8V21mX0n6DbC7mc3JPJGkzYCzgZ3NbI6k6vDWFcDlZvaspPWBccB3sgMN4yyOAuii6mT/b2oBM6a35/c/2RiAvhstZdie82OOaFVb77qQz2a05Zuvoq+X5x7uyuChi5h4zzqN7BmvObOreO7hroCYNqUj9fXQtbpu+edobt1719Cjdw2DtolqrLvsP4//XLoun33SlhP2GgTAl7OrGLnvQK58+D2euHdthu6+gDZVsHb3WgZvt4j3Xu/IbgfMo12HOnb+XtTkvuv+83j09uq8520WCU98xWjOmuO3GU2TQ4iaKxv0A8ZJmgr8jujLv8H9WU2jj5hZDTAVqAQeDeVTgQ2bK/g88VQB/wpx30mUsAF2A243szozmwVMbOI5dsnY/3PgKWC78N7LZjbTzOqBKaz4zLuH2vdUYA9WvoaNuT3j544Z5XdmjCjRFbhT0SSjl2ccfy/gH2ZWC2Bm2dPJZNsDuKshaWZsvxdwdfgD6n6gi6Tkt73FrGu3qBlVMn566uc8OLpbzBGt6otPq/jONoto16EeMIbsspBPpreLO6xGPf9oF4bsEnWV6LvRUqraGt981XI9gat71tK9zzJmhGs15ZnObLL5t4yd+ha3vPw2t7z8Nj1613DNuGlU96ylR98apjy7FmbRvcd3X+3EepssQYId9p7PG8+vFR3n2c5ssGkLtroYUG/FLQkWV2+Eq4DLzOz+UNM7L+O9RVnbLgUws3pJNWE+Log6C+eKv5aVk377NYw1M57TgM+JangVQOZNgDX5ly7UNpb5W10HtJHUHrgWGGpmM0INuymf0/K8zvysFwBPmNkhijolPZkRa1M+a77tK4AdV/cecSmcee3HbLnjQrpW1/KfyW8z+tJejLs9OckmV3wdOtZzwDFR5fy5R7oyfkwL1wiKMO21Tjzz0NpcM+496mrF9Dc78Mh/knNdIc+//ZhqfnPZDP45cRo1NeJvp65H4f+apTfyT5/yl5M2oLZGrLv+Mn57+Sd5tz3w53O49LT1OW73gWBin8PnstHg6Cvp2HNm8deTN+Af51bStVstv70s/3FKz6C+BTsANZO4kmNX4NPwekShDVfDx8BgSe2IEsaeRM2QpdAVmBkS9QiimizA08CvJN1CdL9xd+C2HPvXSKoKNeFMDfvfTNT8vBtRjXpQnjgaEuEcSWsBhwJ3NeFzHE40PuHhRE3VuWT+Gx2TUT4eOF7Sk5nNqsACoDMwZ+XDMAG4V9LlZjY3Y/vxwEnA3wAkDTGzKU34DGvs4hM3aMnTNVm++P7775Z/xKCpRl+yLqMvWTfuMPLKd23/enK8vxMbb/4tVz/6Xt73b3n57eWvO3Sq55xRH+Xcrle/Gi69d3qpwytOQ80x5eLqrXoeUZPdM6z6ZbpGzGwGMBZ4A7gVeK2Eh78WGCHpRaL7cw01rXuB94maeq8jahbNZRTwRkOHnAz3hnhfJ2qSPcPMPssXROgF+q9wvv8Ck5r4OdpJegk4lag2nMtfgT9Leo4VfwQAXE802O8bkl4HfhrKRwGPNHTIyYj1LaKxDp8K218W3joFGBo66rwNHN/Ez+CcS6pW0CFHlvAAXWlJ+oioObakf5S0hC6qtmHKOd6wc4k1btaUuEMo2vb7zmDy60vWqC25a9tetlPPw4va9tFPr3plNeZzbBHJfQLaOedcCiW/VliMskyOoUkxu/vcz8xsahzxNIfwqEv22Gj/z8w2jCEc51y5MKA+2aPfFKMsk6OZDYs7huZmZofEHYNzrkx5cnTOOecyJf8ZxmJ4cnTOOVc6BtGYJenmydE551xpec3ROeecy+K9VZ1zzrkMZt4hxznnnMtmdT62qnPOOZfBBwFwzjnnVtZKBh735Oicc660WsGjHHHNyuGcc64VMsDqrailGJL2kzRN0nRJZzZv9Ct4zdE551zpmJWsQ46kSuAaYG9gJjBJ0v1m9nbhPdec1xydc86VltUXtzRue2C6mX1gZsuAMcBBzRp74PM5utSQ9CXwcTMcujslnnS7GaUpVkhXvGmKFZon3g3MrMeaHEDSo0SxFaM9sCRjfZSZjco41qHAfmb2i7D+M2CYmZ20JjEWw5tVXWqs6X/afCRNTuqEq9nSFCukK940xQrJjdfM9ivh4XJNvNwiNTpvVnXOOZdUM4H1Mtb7AbNa4sSeHJ1zziXVJGCApP6S2gJHAPe3xIm9WdU5GNX4JomRplghXfGmKVZIX7xNZma1kk4CxgGVwA1m9lZLnNs75DjnnHNZvFnVOeecy+LJ0TnnnMviydE555zL4snRlTVJneKOobVKy7WV1EHSwLjjaIq0XNs08+ToypKknSS9DbwT1reSdG3MYeUkqaOk/5X0r7A+QNL+cceVT8qu7QHAFODRsD5EUos8KrA60nRt086ToytXlwP7AnMBzOx1YLdYI8rvRmApsGNYnwn8Kb5wGpWma3se0fid8wDMbAqwYWzRNC5N1zbVPDm6smVmM7KKSjOVQOltbGZ/BWoAzOxbcg+rlRgpura1ZvZN3EE0RYqubar5IACuXM2QtBNgYeSNUwhNVQm0TFIHwpiSkjYmqkkmVZqu7ZuSfgpUShpAFOvzMcdUSJqubap5zdGVq+OBkUBfombKIWE9ic4luie2nqRbgQnAGfGGVFCaru3JwGZEf2zcBnwD/DrOgBqRpmubaj5CjnMpIKkbsANRc+qLZpamqZWcSx2vObqyJOlmSWtnrK8j6YYYQ8pL0iFE98YeMrMHgVpJB8ccVl4pu7aP5Yh1XIwhFZSma5t2nhxdudrSzOY1rJjZ18DW8YVT0LmZnUZC3OfGF06j0nRtu+eItWd84TQqTdc21Tw5unJVIWmdhhVJ1SS3g1qu/6dJjRXSdW3rJa3fsCJpA1poMt3VlKZrm2p+UV25uhR4XtJdYf0w4MIY4ylksqTLgGuIvrhPBl6JN6SC0nRtzwaelfRUWN8NOC7GeBqTpmubat4hx5UtSZsBuxN1cplgZm/HHFJOYaiw/wX2Iop1PPAnM1sUa2AFpOXaAkjqzorOTi8kvbOTpMHAHqTg2qaZJ0dXtiRVAr3IaEExs0/ii6j1SNO1ldQX2ICVY306vohWJamLmc0PzairMLOvWjqm1s6bVV1ZknQyUaeWz4lGGBFRk+WWccaVi6RNgdOJhjXL/ALfI66YCknZtf0LcDjwFlAfig1IVHIkegZzf6Lm9MwaTcO13SiOoFozrzm6siRpOjDMzObGHUtjJL0O/IPoi3H5UGFmlsj7jim7ttOIeoAmecQhFwOvObpyNYNoNJQ0qDWz6+IOognSdG0/AKpI9nB8y0maYGZ7Nlbm1pwnR1euPgCelPQQGV+MZnZZfCHl9YCkE4F7WTnWpN5nStO1XQxMkTSBlWM9Jb6QViWpPdAR6B4e5WgYeL4L0Ce2wFoxT46uXH0SlrZhSbIR4efvMsqSfJ8pTdf2/rAk3a+IxnztQ9S83pAc5xM94uNKzO85urImqVOSH4lIs7Rc2zDjyfpmNi3uWBoj6WQzuyruOMqBj5DjypKkHdMyo7qkjpLOkTQqrA+QtH/cceWTsmt7ADCFaNYTJA2RlOSaZH2OsVVPjDGeVsuToytXfyc9M6rfCCwDdgrrM4E/xRdOo/5Oeq7tecD2wDwAM5sC9I8vnEb9MsfYqr+ML5zWy5OjK1spmlF9YzP7K1ADYGbfsuKeUyKl6NrWZg7qHiT5XlOFpOX/9mGwhaTf100l75DjylWaZlRfFu6LGYCkjUn2owdpurZvSvopUClpAFGsz8ccUyHjgLGS/kH0+3A8oUnYlZZ3yHFlKYyneQUrj1d6ahIfXJe0N3AOMJgozp2BY8zsyTjjyidl17Yj0eDj+xDFOg64wMyWxBpYHpIqiHqu7smKa3u9mSW1Zp5anhydSwFJ3VgxOPaLSR8c27m08+ToyoqkqyhwTylJD39L2qbQ+2b2akvFUoyUXdsHKBzrgS0YTtFC0++fiVoR2jeUm1lSn3lNLb/n6MrN5LgDaIJLC7xnRNMWJUmaru0lcQewmm4kGtT9cqIpwX5OwjtnpZXXHF1Zk9QZMDNbGHcsrU1arm3oNLRpWJ1mZjVxxlOIpFfMbFtJU81si1D2jJntGndsrY3XHF1ZkrQ5MBqojlb1JXC0mb0Vb2SrklQFnMCKZwWfBP6Z1C/xlF3b4cDNwEdENbD1JI1I2nyOGZaETjnvSzoJ+BToGXNMrZLXHF1ZkvQ8cLaZPRHWhwMXmdlOhfaLg6TriWaOuDkU/QyoM7NfxBdVfim7tq8AP20YOi7MnXm7mW0bb2S5SdqO6LGYtYELiAYe/5uZvRhnXK2R1xxduerU8OUNYGZPSuoUZ0AFbGdmW2WsTwxzPCZVmq5tVeaYqmb2XqipJ0544P/HZvY7YCHR/UbXTDw5unL1gaT/JWr+AzgK+DDGeAqpk7Sxmf0fgKSNSO6IM5CuaztZ0r9ZEeuRRLNeJI6Z1UnaVpLMm/yanTerurIU5sQ7H9iF6F7T08B5YazKRJG0J1EvxQ+IYt0A+Hlm7SxJUnZt2wEjWTnWa80skSMQSboUGADcCSyf8cTM7oktqFbKk6NzKRC+xAcSfYG/m9Qvb9e8JN2Yo9jM7H9aPJhWzpOjKyuS/m5mv873EHiSHv6WtIeZTZT0w1zvJ622kLJrO9bMfixpKrlj3TKGsFyC+D1HV24a7i2l4SHw7wITgQNyvGdAopIj6bq2p4afiZ0XM5dwv/kKoqEEDXgB+LWZJfWebmp5zdGVJUmHAA+noXlSUmWaBpZO2bU9DRhrZp/GHUsxJL0IXAPcHoqOAE42s2HxRdU6+XyOrlwdCLwnabSkH0hKcivKh5JGSdozcy6/BEvTte0CjJf0jKSRknrFHVAjZGajzaw2LP8h2fNPppbXHF3ZCs+zfQ84nKi34mNJfLA+zOV4AFEtYRvgQWCMmT0ba2AFpOXaNpC0JVGsPwJmmtleMYeUk6SLgXnAGKKkeDjQjqg2iZl9FVtwrYwnR1fWwpf4fkQPVO9qZj1iDqmg8JjEFcCRZlYZdzyFpOnaSloXOIzoD5DOSe2QI6nQvUXz2TlKx5tVXVmStJ+km4DpwKHA9UDvWIMqQNJ3JV0LvEo0VdGPYw4przRdW0knSHoSmAB0B36Z1MQIYGb9CywbhYmxXQl4zdGVJUljiJqmHkl6x5FQW5gCjAXuN7NFhfeIV8qu7cVETdRT8ry/ThIHL8hH0qtmVnAeUFccT47O5SDpBTPbMe44ACR1MbP5Bd4/y8z+3JIxrYkkXdvGpC3ZSHrNzLaOO47WwJtVncutfeObtIxCiTE4rEUCKZ3EXNsipKF3cCav7ZSIJ0fnckvTl4x/gTefNMXqSsiTo3Pp51/grsFHcQfQWiT54Vzn4pSm2liaYoV0xZuIWPONr9ugYZxdMyu4nSueJ0fncvtZ3AE0wZ1xB9BEibm2knYA3jKzBWG9MzDYzF4Km+wZW3AryzW+boMkjrObet5b1ZUVSQvI3Qwpooeou7RwSHlJuooCTaZmdkoLhtOoNF3bBpJeA7ZpmDxYUgUwOU09VF3z8JqjKytm1jnuGJpgctwBNEXKrm0DWUYNwczqEz4WLJJ+AGxGRq9fM/tjfBG1Ton+JXCuuUnqycpfMp/EGM5KzOzmuGNYE0m+thk+kHQKcF1YPxH4IMZ4CpL0D6AjsDvRyEOHAi/HGlQr5c2qrixJOhC4FOgDfAFsALxjZpvFGlgOknoA/w8YzMrJZo/YgiogZde2J3AlsAdRk/AEovkRv4g1sDwkvWFmW2b8XAu4x8z2iTu21sYf5XDl6gKiCWPfM7P+RB0vnos3pLxuBd4B+gPnE3XXnxRnQI1IzbU1sy/M7Agz62lmvczsp0lNjMG34ediSX2AGqLfC1di3qzqylWNmc2VVCGpwsyekPSXuIPKo5uZ/VvSqWb2FPCUpKfiDqqAxF9bSWeY2V/zdXpKWmenDA9KWhv4G9Eg9EbUvOpKzJOjK1fzQpPU08Ctkr4AamOOKZ+a8HN26IwxC+gXYzyNScO1fSf8TFunpwvCy7slPQi0N7Nv4oyptfJ7jq4sSeoELCF6zOBIoCtwq5nNjTWwHCTtDzwDrAdcRTR7/flmdn+sgeURru23RLdtEn1t00jSTsCGZFRuzOyW2AJqpTw5OudKSlJ/YLaZLQnrHYBeZvZRrIHlIGkocDZRp6HMZJPIOR0ljQY2JprCrC4UW4KbgVPLk6MrS2E4rr8APYlqj0l+UP1Gct8X+58YwmmUpMnATma2LKy3BZ4zs+3ijWxVkqYBvwOmAvUN5Wb2cWxBFSDpHaIRfPyLu5n5PUdXrv4KHGBm7zS6ZfwezHjdHjiE6L5jUrVpSIwAZrYsJMgk+jKpzdN5vAmsC8yOO5DWzpOjK1efpyQxYmZ3Z65Luh14PKZwivGlpAMbko6kg4A5MceUz7mSrid6vnFpQ2HDQN4J1B14W9LLrBzvgfGF1Dp5cnTlarKkO4D/ko4vxUwDgPXjDqKA44l6qV5N1Fw9Azg63pDy+jkwCKhiRbNqkgfyPi/uAMqF33N0ZSncx8tmSbyPl2NA78+As7JrlEkTHudQw4wXSSRpqpltEXccTSGpF9Bw//blhA9akFqeHJ1zJSHpKDP7j6Tf5HrfzC5r6ZgaI+lfwOVm9nbcsRRD0o+JBgB4kqhWvivwOzO7K864WiMfPs6VJUn9JN0r6QtJn0u6W1IiH6yXdGzWeqWkc+OKp4BO4WfnPEsS7QJMkTRN0huSpkp6I+6gCjgb2M7MRpjZ0cD2wP/GHFOr5DVHV5YkPQbcBowORUcBR5rZ3vFFlZuk24C1gWOJOmTcADxlZqfHGVdrIGmDXOUJfpRjpWbgMP/k62lrGk4Drzm6ctXDzG40s9qw3AT0iDuoXMzsp8DNRM/iPUQ0a0RiE6Okv0rqIqlK0gRJcyQdFXdcuYQkuDZwQFjWTmpiDB6VNE7SMZKOIfp9eDjmmFolT46uXM2RdFRooqwMX96JHN5M0gDgVOBuohk5fiapY6xBFbaPmc0H9gdmApsSPWifOJJOJZr1pGdY/iPp5Hijys/MfgeMArYEtgJGmdn/izeq1smbVV1ZkrQ+cDWwI1FP0OeBU5NYa5D0LnCSmT0uScBvgP9J4vyIAJLeMrPNQmeXu83sUUmvm9lWcceWLdxf3NHMFoX1TsALSR0+zrUcf87RlaUwK31aHpzePtTECMOGXSopyaO6PBAS+rfAiWGy5iUxx5SPWDFGKeG1YoolL0nPmtkuOR7rSeywh2nnNUdXVtI4j194ru0ioK+Z7SdpMFFt598xh5aXpHWA+WZWF2pjnc3ss7jjyhYeOxkB3BuKDgZuMrO/xxWTSwa/5+jKTeY8fq/kWJLoJmAc0Dusvwf8Oq5gGhMGHv8J0dRamNmiJCZGWP7s5f8AXwFfAz9PcmIMs3I0WubWnDerurJiZg+El4vN7M7M9yQdFkNIxehuZmMlnQVgZrWS6hrbKUZHEA3LNikkyhuB8QmeSWIK0UDebSC6Hx2a3ZNopfvMktoA28YUS6vmNUdXrs4qsiwJFknqRmgGlrQDkNjZ381supmdTdRL9Tai5zI/kXS+pOp4o1tZ6Jn6OfAY0ewnD7HyLCiJIOmscL9xS0nzw7KAKPb7Yg6vVfJ7jq6sSPoe8H3gx8AdGW91IZonb/tYAitA0jbAVcDmRFMW9QAONbPEjuQiaUui2uP3iZqEbyUajeZnZjYkxtBWImk6MMzMEvkYTzZJfzazpP4R16p4s6orN7OI7jceyMr3GBcAp8USUeM2Br4HrAf8CBhGgv/vSnoFmAf8GzjTzBpmPXlJ0s6xBZbbDBJcC28gaZCZvQvcGf5YWomZvRpDWK2a1xxdWZJURdQNftNQNM3MamIMKS9Jb5jZlpJ2Ieq1einwezMbFnNoOUnayMw+iDuOYkj6NzCQqDk1c+qyRA2SLulfZvZLSU/keNvMbI8WD6qVS+xfn841s52AW4hGnBGwnqQRZvZ0rFHl1tD55gfAP8zsPknnxRhPYz6V9FNgQzK+Y8zsj7FFlN8nYWkblkQys1+Gn7vHHUu58JqjK0uh6e+nZjYtrG8K3G5miev5J+lB4FNgL6Keid8SzeOXuBFnACQ9StRU+QoZD9ib2aWxBdUISZ2JamAL444lF0k/LPR+SibpThVPjq4sNTRVNlaWBGEc1f2AqWb2vqTewBZmNj7m0HKS9KaZbR53HMWQtDnRzCwNvWjnAEeb2VvxRbWqjMm5exK1ekwM67sDT5pZweTpms6ToytLkm4gejSi4QHqI4E2Zvbz+KJqHSSNAq4ys6lxx9IYSc8DZ5vZE2F9OHCRme0UZ1z5hFaEX5rZ7LDeG7jGk2PpeXJ0ZUlSO2Ak0eMFAp4Grs3oWemaSNJUoj842gADgA+IOrk0jP+ZxFr5KgOiJ3WQdFi1Vh7mc3wjLTX1NPHk6JwriXwTBzdI6Iwn9wKvsvKk10PN7ODYgipA0tVEf3jcTvSHyBHAdDNL7DRbaeXJ0ZUlSfsDFwAbENV0fHaDNSSpPXA8sAnRxMz/NrPaeKMqLAyQfj5RCwJELQjnm9nX8UVVWOics2tYfdrM7i20vVs9nhxdWQojo/yQqJOL/ycoAUl3ADXAM0SDFnxsZqfGG5Vzq8fHVnXlagbwpifGkhpsZkeZ2T+BQ1lRu0ksSY9JWjtjfR1J42IMqSBJO0iaJGmhpGWS6iTNjzuu1sgHAXDl6gzgYUlPkeCRUVJm+QhDYeaQOGMpVnczm9ewYmZfS+oZYzyNuZroPuOdwFDgaKJmbFdinhxduboQWAi0J8Ejo6TMVhm1GAEdwnqS7+fWZ05RFToVJbo1wcymS6o0szrgxvA4iisxT46uXFWb2T5xB9GamFll3DGshrOBZ0MLAsBuwHExxtOYxZLaAlMk/ZVoHspOMcfUKvk9R1euHpfkydGNA84BBgFjie6TJranKvAzou/tk4BFrJipxZWY91Z1ZSlMFNsRWEZ0ryzJTX+umUi6DqgH9jCz74RHO8ab2XYxh7YKSZXAzWZ2VNyxlANvVnXlqivRkHH9zeyPktYHescck2t5w8xsG0mvwfIOOYm8B21mdZJ6SGprZsvijqe18+ToytU1hBoD8EeiyY7vBhJXY3DNqibUyAxAUg+i34tEyeg09BHwnKT7iZpVAe9l3Rw8ObpylZoag2tWVwL3Aj0lXUj0fOY58YaU03+BbYBZYakAOscZUGvnydGVq1TUGFzzMrNbw9yeexLddz7YzN6JOaxcBGBm58cdSLnwDjmuLEk6Ejic6K/xmwk1BjO7M9bAnMtB0hfAmHzvm9kpLRhOWfCaoytLKaoxOAfwLfBK3EGUE685Oudcwkl61cy2iTuOcuKDADjnXPIV9eiGpM2aO5By4TVH55xrJbyGWTpec3TOudYjFVOhpIEnR+ecaz28KbBEPDk655xzWTw5Oudc6+FjrpaId8hxzrmEk1Swk42ZvdpSsZQLT47OOZdwkp4o8LaZ2R4tFkyZ8OTonHPOZfHh45xzLiUkHZ2r3MxuaelYWjtPjs45lx6Z8422Jxob+FXAk2OJebOqc86llKSuwGgzOzDuWFobf5TDOefSazEwIO4gWiNvVnXOuZSQ9AArRsGpAAYDY+OLqPXyZlXnnEs4Se3MbKmk72YU1wIfm9nMuOJqzTw5OudcwjXMtiFptJn9LO54yoE3qzrnXPK1lTQC2EnSD7PfNLN7YoipVfPk6JxzyXc8cCSwNnBA1nsGeHIsMW9Wdc65lJB0rJn9O+44yoEnR+ecSwlJlcAPgA3JaPkzs8viiqm18mZV55xLjweAJcBUoD7mWFo1T47OOZce/cxsy7iDKAc+Qo5zzqXHI5L2iTuIcuA1R+ecS48XgXslVQA1gIjmc+wSb1itj3fIcc65lJD0AXAwMNX8y7tZebOqc86lx/vAm54Ym583qzrnXHrMBp6U9AiwtKHQH+UoPU+OzjmXHh+GpW1YXDPx5OiccykQBgAYYGZHxR1LOfB7js45lwJmVgf0kOQ1xhbgNUfnnEuPj4DnJN0PLGoo9HuOpefJ0Tnn0mNWWCqAzjHH0qr5c47OOedcFq85OudcSkjqAZwBbAa0byg3sz1iC6qV8g45zjmXHrcC7wL9gfOJ7kFOijOg1sqbVZ1zLiUkvWJm20p6o2F2DklPmdl3446ttfFmVeecS4+a8HO2pB8Qdc7pF2M8rZYnR+ecS48/SeoK/Ba4CugCnBZvSK2TN6s655xzWbzm6JxzCSfpKiBvTcbMTmnBcMqCJ0fnnEu+yRmvzwfOjSuQcuHNqs45lyKSXjOzreOOo7Xz5xydcy5dvEbTAjw5Ouecc1m8WdU55xJO0gJW1Bg7Aosb3gLMzLrEElgr5snROeecy+LNqs4551wWT47OOedcFk+OzrUSkuokTZH0pqQ7JXVcg2PdJOnQ8Pp6SYMLbDtc0k6rcY6PJHUvtjxrm4VNPNd5kk5vaoyufHlydK71+NbMhpjZ5sAy4PjMNyVVrs5BzewXZvZ2gU2GA01Ojs4lmSdH51qnZ4BNQq3uCUm3AVMlVUr6m6RJkt6Q9CsARa6W9Lakh4CeDQeS9KSkoeH1fpJelfS6pAmSNiRKwqeFWuuuknpIujucY5KkncO+3SSNl/SapH8S9bQsSNJ/Jb0i6S1Jx2W9d2mIZUKYBBhJG0t6NOzzjKRBJbmaruz48HHOtTKS2gDfAx4NRdsDm5vZhyHBfGNm20lqBzwnaTywNTAQ2ALoBbwN3JB13B7Av4DdwrGqzewrSf8AFprZJWG724DLzexZSesD44DvEA159qyZ/TFMt7RSssvjf8I5OgCTJN1tZnOBTsCrZvZbSX8Ixz4JGAUcb2bvSxoGXAvssRqX0ZU5T47OtR4dJE0Jr58B/k3U3PmymX0YyvcBtmy4nwh0BQYAuwG3m1kdMEvSxBzH3wF4uuFYZvZVnjj2AgZLyyuGXSR1Duf4Ydj3IUlfF/GZTpF0SHi9Xoh1LlAP3BHK/wPcI2mt8HnvzDh3uyLO4dwqPDk613p8a2ZDMgtCkliUWQScbGbjsrb7Po0PS6YitoHods2OZvZtjliKfrBa0nCiRLujmS2W9CTQPs/mFs47L/saOLc6/J6jc+VlHHCCpCoASZtK6gQ8DRwR7kn2BnbPse8LwHcl9Q/7VofyBUDnjO3GEzVxErYbEl4+DRwZyr4HrNNIrF2Br0NiHERUc21QATTUfn9K1Fw7H/hQ0mHhHJK0VSPncC4nT47OlZfrie4nvirpTeCfRC1I9wLvA1OB64Cnsnc0sy+J7hPeI+l1VjRrPgAc0tAhBzgFGBo6/LzNil6z5wO7SXqVqHn3k0ZifRRoI+kN4ALgxYz3FgGbSXqF6J7iH0P5kcCxIb63gIOKuCbOrcKHj3POOeeyeM3ROeecy+LJ0TnnnMviydE555zL4snROeecy+LJ0TnnnMviydE555zL4snROeecy+LJ0TnnnMvy/wEVXqumNi5iHAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "classification_metrics(lr,X_test,y_test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6dd1dcb4",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfbf427a",
   "metadata": {},
   "source": [
    "At the end of this project, we say that the models performs pretty good. We can still try other model such as Support Vector Machine, RandomForest, and Neural Networks. Or just opitmizing this LogisticRegression model\n",
    "\n",
    "Tackling text classification may be difficult from accessing quality to model building. "
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}