2_COVID_Tweets_word_frequency_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:09.045220Z",
     "start_time": "2021-03-19T22:12:09.037580Z"
    }
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import preprocessor as p\n",
    "import nltk\n",
    "from nltk import word_tokenize, FreqDist\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from nltk.tokenize import TweetTokenizer\n",
    "from collections import Counter\n",
    "\n",
    "from nltk import FreqDist\n",
    "\n",
    "import spacy\n",
    "import keras \n",
    "\n",
    "import wordcloud \n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:10.282214Z",
     "start_time": "2021-03-19T22:12:09.618208Z"
    }
   },
   "outputs": [],
   "source": [
    "try:\n",
    "    nlp = spacy.load(\"en\")\n",
    "except OSError:\n",
    "    nlp = spacy.load(\"en_core_web_sm\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data loading and preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:10.834899Z",
     "start_time": "2021-03-19T22:12:10.815209Z"
    }
   },
   "outputs": [],
   "source": [
    "tweets = []\n",
    "for line in open('data/cdc_twitter_covid.json', 'r', encoding='utf-8'):\n",
    "    tweets.append(json.loads(line))\n",
    "    \n",
    "df = pd.DataFrame(tweets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:11.349872Z",
     "start_time": "2021-03-19T22:12:11.344928Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'conversation_id', 'created_at', 'date', 'time', 'timezone',\n",
       "       'user_id', 'username', 'name', 'place', 'tweet', 'language', 'mentions',\n",
       "       'urls', 'photos', 'replies_count', 'retweets_count', 'likes_count',\n",
       "       'hashtags', 'cashtags', 'link', 'retweet', 'quote_url', 'video',\n",
       "       'thumbnail', 'near', 'geo', 'source', 'user_rt_id', 'user_rt',\n",
       "       'retweet_id', 'reply_to', 'retweet_date', 'translate', 'trans_src',\n",
       "       'trans_dest'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:11.881232Z",
     "start_time": "2021-03-19T22:12:11.876972Z"
    }
   },
   "outputs": [],
   "source": [
    "df = df[['id', 'date', 'time', 'username', 'tweet', 'mentions','urls', 'photos', 'hashtags', 'link', 'quote_url']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:12.411008Z",
     "start_time": "2021-03-19T22:12:12.399997Z"
    },
    "scrolled": true
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>2021-02-22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>#DYK? COVID-19 and flu can both cause fever an...</td>\n",
       "      <td>[dyk, covid19]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363885801755533313</td>\n",
       "      <td>2021-02-22</td>\n",
       "      <td>11:18:09</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>A new @CDCMMWR looks at #COVID19 in Georgia el...</td>\n",
       "      <td>[covid19]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1362865816765661190</td>\n",
       "      <td>2021-02-19</td>\n",
       "      <td>15:45:06</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>Officials are concerned about 3 #COVID19 varia...</td>\n",
       "      <td>[covid19]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id        date      time username  \\\n",
       "0  1363921515922796547  2021-02-22  13:40:04   cdcgov   \n",
       "1  1363885801755533313  2021-02-22  11:18:09   cdcgov   \n",
       "2  1362865816765661190  2021-02-19  15:45:06   cdcgov   \n",
       "\n",
       "                                               tweet        hashtags  \n",
       "0  #DYK? COVID-19 and flu can both cause fever an...  [dyk, covid19]  \n",
       "1  A new @CDCMMWR looks at #COVID19 in Georgia el...       [covid19]  \n",
       "2  Officials are concerned about 3 #COVID19 varia...       [covid19]  "
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df = df[['id', 'date', 'time', 'username', 'tweet', 'hashtags']]\n",
    "tweets_df[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:12.785558Z",
     "start_time": "2021-03-19T22:12:12.769411Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- Print the Basic Info of the data ----\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 431 entries, 0 to 430\n",
      "Data columns (total 6 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   id        431 non-null    int64 \n",
      " 1   date      431 non-null    object\n",
      " 2   time      431 non-null    object\n",
      " 3   username  431 non-null    object\n",
      " 4   tweet     431 non-null    object\n",
      " 5   hashtags  431 non-null    object\n",
      "dtypes: int64(1), object(5)\n",
      "memory usage: 20.3+ KB\n",
      "None\n",
      "(431, 6)\n",
      "--- Print the Head/Tail of the data -----\n",
      "                    id        date      time username  \\\n",
      "0  1363921515922796547  2021-02-22  13:40:04   cdcgov   \n",
      "1  1363885801755533313  2021-02-22  11:18:09   cdcgov   \n",
      "2  1362865816765661190  2021-02-19  15:45:06   cdcgov   \n",
      "3  1362849192130080772  2021-02-19  14:39:02   cdcgov   \n",
      "4  1362510972162867206  2021-02-18  16:15:04   cdcgov   \n",
      "\n",
      "                                               tweet        hashtags  \n",
      "0  #DYK? COVID-19 and flu can both cause fever an...  [dyk, covid19]  \n",
      "1  A new @CDCMMWR looks at #COVID19 in Georgia el...       [covid19]  \n",
      "2  Officials are concerned about 3 #COVID19 varia...       [covid19]  \n",
      "3  Getting a #COVID19 vaccine is important for ad...       [covid19]  \n",
      "4  #DYK? You need two #COVID19 mRNA vaccine doses...  [dyk, covid19]  \n",
      "------------------------\n",
      "                      id        date      time username  \\\n",
      "426  1233891883195211780  2020-02-29  18:08:44   cdcgov   \n",
      "427  1233891113628557313  2020-02-29  18:05:40   cdcgov   \n",
      "428  1233891108654108672  2020-02-29  18:05:39   cdcgov   \n",
      "429  1233486735578976257  2020-02-28  15:18:49   cdcgov   \n",
      "430  1232366410313224193  2020-02-25  13:07:03   cdcgov   \n",
      "\n",
      "                                                 tweet              hashtags  \n",
      "426  Reports of community spread of #COVID19 in Cal...             [covid19]  \n",
      "427  CDC, @WADeptHealth &amp; @KCPubHealth also rep...               [covid]  \n",
      "428  Today, @WADeptHealth and CDC reported the deat...  [covid, coronavirus]  \n",
      "429  CDC does not currently recommend the general p...        [covid19, ppe]  \n",
      "430  CDC and public health authorities have impleme...                    []  \n"
     ]
    }
   ],
   "source": [
    "print('--- Print the Basic Info of the data ----')\n",
    "print(tweets_df.info())\n",
    "print(tweets_df.shape)\n",
    "\n",
    "print('--- Print the Head/Tail of the data -----')\n",
    "print(tweets_df.head())\n",
    "print('------------------------')\n",
    "print(tweets_df.tail())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T21:51:49.751906Z",
     "start_time": "2021-03-19T21:51:49.748908Z"
    }
   },
   "source": [
    "## remove URLs, emojis, smileys etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:13.379176Z",
     "start_time": "2021-03-19T22:12:13.135074Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\xiche\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:1765: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  isetter(loc, value)\n"
     ]
    }
   ],
   "source": [
    "# remove URLs, emojis, smileys, mentions, hashtags, and reserved words\n",
    "for i,v in enumerate(tweets_df['tweet']):\n",
    "    tweets_df.loc[i, 'tweet'] = p.clean(v)\n",
    "    tweets_df.loc[i, 'tweet'] = tweets_df.loc[i, \"tweet\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:13.725134Z",
     "start_time": "2021-03-19T22:12:13.720111Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'? COVID-19 and flu can both cause fever and cough, but shortness of breath is more common with than flu. Use this chart to learn more about the similarities and differences of COVID-19 and flu. Learn more: .'"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df.loc[0, \"tweet\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## remove extra white spaces, punctuation, and apply lower casing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:14.101374Z",
     "start_time": "2021-03-19T22:12:14.090333Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-111-e68e07bc12be>:2: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tweets_df['tweet'] = tweets_df['tweet'].str.lower().str.replace('[^\\w\\s]',' ').str.replace('\\s\\s+', ' ')\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "' covid 19 and flu can both cause fever and cough but shortness of breath is more common with than flu use this chart to learn more about the similarities and differences of covid 19 and flu learn more '"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove extra white spaces, punctuation and apply lower casing\n",
    "tweets_df['tweet'] = tweets_df['tweet'].str.lower().str.replace('[^\\w\\s]',' ').str.replace('\\s\\s+', ' ')\n",
    "tweets_df.loc[0, \"tweet\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## lemmatize and tokenize"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:14.461365Z",
     "start_time": "2021-03-19T22:12:14.455371Z"
    }
   },
   "outputs": [],
   "source": [
    "# lemmatize and tokenize\n",
    "def word_tokenize(word_list, model=nlp, MAX_LEN=1500000):   \n",
    "    tokenized = []\n",
    "    if type(word_list) == list and len(word_list) == 1:\n",
    "        word_list = word_list[0]\n",
    "\n",
    "    if type(word_list) == list:\n",
    "        word_list = ' '.join([str(elem) for elem in word_list]) \n",
    "\n",
    "    model.max_length = MAX_LEN\n",
    "    doc = model(word_list, disable=[\"parser\", \"tagger\", \"ner\"])\n",
    "    \n",
    "    for token in doc:\n",
    "        if not token.is_punct and len(token.text.strip()) > 0:\n",
    "            tokenized.append(token.text)\n",
    "    return tokenized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:14.855367Z",
     "start_time": "2021-03-19T22:12:14.841364Z"
    }
   },
   "outputs": [],
   "source": [
    "def normalizeTokens(word_list, extra_stop=[], model=nlp, lemma=True, MAX_LEN=1500000):\n",
    "    normalized = []\n",
    "    if type(word_list) == list and len(word_list) == 1:\n",
    "        word_list = word_list[0]\n",
    "\n",
    "    if type(word_list) == list:\n",
    "        word_list = ' '.join([str(elem) for elem in word_list]) \n",
    "\n",
    "\n",
    "    model.max_length = MAX_LEN\n",
    "    doc = model(word_list.lower(), disable=[\"parser\", \"tagger\", \"ner\"])\n",
    "\n",
    "    if len(extra_stop) > 0:\n",
    "        for stopword in extra_stop:\n",
    "            lexeme = nlp.vocab[stopword]\n",
    "            lexeme.is_stop = True\n",
    "\n",
    "    # check if we want lemmas or not earlier to avoid checking every time we loop\n",
    "    if lemma:\n",
    "        for w in doc:\n",
    "            # if it's not a stop word or punctuation mark, add it to our article\n",
    "            if w.text != '\\n' and not w.is_stop and not w.is_punct and not w.like_num and len(w.text.strip()) > 0:\n",
    "            # we add the lematized version of the word\n",
    "                normalized.append(str(w.lemma_))\n",
    "    else:\n",
    "        for w in doc:\n",
    "            # if it's not a stop word or punctuation mark, add it to our article\n",
    "            if w.text != '\\n' and not w.is_stop and not w.is_punct and not w.like_num and len(w.text.strip()) > 0:\n",
    "            # we add the lematized version of the word\n",
    "                normalized.append(str(w.text.strip()))\n",
    "\n",
    "    return normalized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:15.354558Z",
     "start_time": "2021-03-19T22:12:15.226364Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-114-8fcd6026113e>: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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tweets_df['tokenized_tweet'] = tweets_df['tweet'].apply(lambda x: word_tokenize(x))\n",
      "<ipython-input-114-8fcd6026113e>:2: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tweets_df['normalized_tokens'] = tweets_df['tokenized_tweet'].apply(lambda x: normalizeTokens(x))\n"
     ]
    }
   ],
   "source": [
    "tweets_df['tokenized_tweet'] = tweets_df['tweet'].apply(lambda x: word_tokenize(x))\n",
    "tweets_df['normalized_tokens'] = tweets_df['tokenized_tweet'].apply(lambda x: normalizeTokens(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:15.755054Z",
     "start_time": "2021-03-19T22:12:15.741034Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>2021-02-22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>covid 19 and flu can both cause fever and cou...</td>\n",
       "      <td>[dyk, covid19]</td>\n",
       "      <td>[covid, 19, and, flu, can, both, cause, fever,...</td>\n",
       "      <td>[covid, flu, cause, fever, cough, shortness, b...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363885801755533313</td>\n",
       "      <td>2021-02-22</td>\n",
       "      <td>11:18:09</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>a new looks at in georgia elementary schools t...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[a, new, looks, at, in, georgia, elementary, s...</td>\n",
       "      <td>[new, look, georgia, elementary, school, study...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1362865816765661190</td>\n",
       "      <td>2021-02-19</td>\n",
       "      <td>15:45:06</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>officials are concerned about variants detecte...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[officials, are, concerned, about, variants, d...</td>\n",
       "      <td>[official, concern, variant, detect, u, s, b, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id        date      time username  \\\n",
       "0  1363921515922796547  2021-02-22  13:40:04   cdcgov   \n",
       "1  1363885801755533313  2021-02-22  11:18:09   cdcgov   \n",
       "2  1362865816765661190  2021-02-19  15:45:06   cdcgov   \n",
       "\n",
       "                                               tweet        hashtags  \\\n",
       "0   covid 19 and flu can both cause fever and cou...  [dyk, covid19]   \n",
       "1  a new looks at in georgia elementary schools t...       [covid19]   \n",
       "2  officials are concerned about variants detecte...       [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [covid, 19, and, flu, can, both, cause, fever,...   \n",
       "1  [a, new, looks, at, in, georgia, elementary, s...   \n",
       "2  [officials, are, concerned, about, variants, d...   \n",
       "\n",
       "                                   normalized_tokens  \n",
       "0  [covid, flu, cause, fever, cough, shortness, b...  \n",
       "1  [new, look, georgia, elementary, school, study...  \n",
       "2  [official, concern, variant, detect, u, s, b, ...  "
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:16.124998Z",
     "start_time": "2021-03-19T22:12:16.121033Z"
    }
   },
   "outputs": [],
   "source": [
    "# save tweets as txt file\n",
    "#tweets_df[\"tweet\"].to_csv(\"tweet\" + '.txt', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:16.510997Z",
     "start_time": "2021-03-19T22:12:16.503003Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-117-fc52ba283241>: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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tweets_df['year'] = tweets_df['date'].apply(lambda x: x.split('-')[0])\n",
      "<ipython-input-117-fc52ba283241>:2: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tweets_df['month'] = tweets_df['date'].apply(lambda x: x.split('-')[1])\n",
      "<ipython-input-117-fc52ba283241>:3: 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: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  tweets_df['date'] = tweets_df['date'].apply(lambda x: x.split('-')[2])\n"
     ]
    }
   ],
   "source": [
    "tweets_df['year'] = tweets_df['date'].apply(lambda x: x.split('-')[0])\n",
    "tweets_df['month'] = tweets_df['date'].apply(lambda x: x.split('-')[1])\n",
    "tweets_df['date'] = tweets_df['date'].apply(lambda x: x.split('-')[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:16.911060Z",
     "start_time": "2021-03-19T22:12:16.893997Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>covid 19 and flu can both cause fever and cou...</td>\n",
       "      <td>[dyk, covid19]</td>\n",
       "      <td>[covid, 19, and, flu, can, both, cause, fever,...</td>\n",
       "      <td>[covid, flu, cause, fever, cough, shortness, b...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363885801755533313</td>\n",
       "      <td>22</td>\n",
       "      <td>11:18:09</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>a new looks at in georgia elementary schools t...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[a, new, looks, at, in, georgia, elementary, s...</td>\n",
       "      <td>[new, look, georgia, elementary, school, study...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1362865816765661190</td>\n",
       "      <td>19</td>\n",
       "      <td>15:45:06</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>officials are concerned about variants detecte...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[officials, are, concerned, about, variants, d...</td>\n",
       "      <td>[official, concern, variant, detect, u, s, b, ...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1363921515922796547   22  13:40:04   cdcgov   \n",
       "1  1363885801755533313   22  11:18:09   cdcgov   \n",
       "2  1362865816765661190   19  15:45:06   cdcgov   \n",
       "\n",
       "                                               tweet        hashtags  \\\n",
       "0   covid 19 and flu can both cause fever and cou...  [dyk, covid19]   \n",
       "1  a new looks at in georgia elementary schools t...       [covid19]   \n",
       "2  officials are concerned about variants detecte...       [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [covid, 19, and, flu, can, both, cause, fever,...   \n",
       "1  [a, new, looks, at, in, georgia, elementary, s...   \n",
       "2  [officials, are, concerned, about, variants, d...   \n",
       "\n",
       "                                   normalized_tokens  year month  \n",
       "0  [covid, flu, cause, fever, cough, shortness, b...  2021    02  \n",
       "1  [new, look, georgia, elementary, school, study...  2021    02  \n",
       "2  [official, concern, variant, detect, u, s, b, ...  2021    02  "
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:17.637053Z",
     "start_time": "2021-03-19T22:12:17.634089Z"
    }
   },
   "outputs": [],
   "source": [
    "#save cleaned texts as txt file\n",
    "#tweets_df.to_csv(\"cleaned_tweets\" + '.txt', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:18.059053Z",
     "start_time": "2021-03-19T22:12:18.039053Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1244692113448677378</td>\n",
       "      <td>30</td>\n",
       "      <td>14:24:59</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>asymptomatic and pre symptomatic nursing home ...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[asymptomatic, and, pre, symptomatic, nursing,...</td>\n",
       "      <td>[asymptomatic, pre, symptomatic, nurse, home, ...</td>\n",
       "      <td>2020</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1244349105343774720</td>\n",
       "      <td>29</td>\n",
       "      <td>15:42:00</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>take simple daily precautions to help prevent ...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[take, simple, daily, precautions, to, help, p...</td>\n",
       "      <td>[simple, daily, precaution, help, prevent, spr...</td>\n",
       "      <td>2020</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1243960241311678465</td>\n",
       "      <td>28</td>\n",
       "      <td>13:56:47</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>new cdc health alert network advisory severe i...</td>\n",
       "      <td>[coronavirus]</td>\n",
       "      <td>[new, cdc, health, alert, network, advisory, s...</td>\n",
       "      <td>[new, cdc, health, alert, network, advisory, s...</td>\n",
       "      <td>2020</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1244692113448677378   30  14:24:59   cdcgov   \n",
       "1  1244349105343774720   29  15:42:00   cdcgov   \n",
       "2  1243960241311678465   28  13:56:47   cdcgov   \n",
       "\n",
       "                                               tweet       hashtags  \\\n",
       "0  asymptomatic and pre symptomatic nursing home ...             []   \n",
       "1  take simple daily precautions to help prevent ...      [covid19]   \n",
       "2  new cdc health alert network advisory severe i...  [coronavirus]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [asymptomatic, and, pre, symptomatic, nursing,...   \n",
       "1  [take, simple, daily, precautions, to, help, p...   \n",
       "2  [new, cdc, health, alert, network, advisory, s...   \n",
       "\n",
       "                                   normalized_tokens  year month  \n",
       "0  [asymptomatic, pre, symptomatic, nurse, home, ...  2020    03  \n",
       "1  [simple, daily, precaution, help, prevent, spr...  2020    03  \n",
       "2  [new, cdc, health, alert, network, advisory, s...  2020    03  "
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets01 = tweets_df[((tweets_df[\"month\"] == '02') |(tweets_df[\"month\"] == '03')) & (tweets_df[\"year\"] == '2020')]\n",
    "tweets01 = tweets01.reset_index(drop=True)\n",
    "tweets01[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:18.454059Z",
     "start_time": "2021-03-19T22:12:18.437091Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1278069913668780032</td>\n",
       "      <td>30</td>\n",
       "      <td>16:56:27</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>if you tested positive for and have no symptom...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[if, you, tested, positive, for, and, have, no...</td>\n",
       "      <td>[test, positive, symptom, stay, home, away, pe...</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1278019979368189954</td>\n",
       "      <td>30</td>\n",
       "      <td>13:38:02</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>survey of people with covid 19 in colorado fin...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[survey, of, people, with, covid, 19, in, colo...</td>\n",
       "      <td>[survey, people, covid, colorado, find, half, ...</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1278012224070656000</td>\n",
       "      <td>30</td>\n",
       "      <td>13:07:13</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>a survey of covid 19 positive patients found t...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[a, survey, of, covid, 19, positive, patients,...</td>\n",
       "      <td>[survey, covid, positive, patient, find, half,...</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1278069913668780032   30  16:56:27   cdcgov   \n",
       "1  1278019979368189954   30  13:38:02   cdcgov   \n",
       "2  1278012224070656000   30  13:07:13   cdcgov   \n",
       "\n",
       "                                               tweet   hashtags  \\\n",
       "0  if you tested positive for and have no symptom...  [covid19]   \n",
       "1  survey of people with covid 19 in colorado fin...  [covid19]   \n",
       "2  a survey of covid 19 positive patients found t...  [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [if, you, tested, positive, for, and, have, no...   \n",
       "1  [survey, of, people, with, covid, 19, in, colo...   \n",
       "2  [a, survey, of, covid, 19, positive, patients,...   \n",
       "\n",
       "                                   normalized_tokens  year month  \n",
       "0  [test, positive, symptom, stay, home, away, pe...  2020    06  \n",
       "1  [survey, people, covid, colorado, find, half, ...  2020    06  \n",
       "2  [survey, covid, positive, patient, find, half,...  2020    06  "
      ]
     },
     "execution_count": 122,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets02 = tweets_df[((tweets_df[\"month\"] == '04') |(tweets_df[\"month\"] == '05') | (tweets_df[\"month\"] == '06')) & (tweets_df[\"year\"] == '2020')]\n",
    "tweets02 = tweets02.reset_index(drop=True)\n",
    "tweets02[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:18.848309Z",
     "start_time": "2021-03-19T22:12:18.831306Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1311424974989807618</td>\n",
       "      <td>30</td>\n",
       "      <td>17:57:33</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>increases in vary by urbanization over the las...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[increases, in, vary, by, urbanization, over, ...</td>\n",
       "      <td>[increase, vary, urbanization, day, covid, cas...</td>\n",
       "      <td>2020</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1311392895375740929</td>\n",
       "      <td>30</td>\n",
       "      <td>15:50:05</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>join the next cdc covid 19 partner update call...</td>\n",
       "      <td>[covid19, sciencenews, health]</td>\n",
       "      <td>[join, the, next, cdc, covid, 19, partner, upd...</td>\n",
       "      <td>[join, cdc, covid, partner, update, monday, oc...</td>\n",
       "      <td>2020</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1310990987058188289</td>\n",
       "      <td>29</td>\n",
       "      <td>13:13:03</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>new shows infections among 22 year olds increa...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[new, shows, infections, among, 22, year, olds...</td>\n",
       "      <td>[new, show, infection, year, old, increase, ea...</td>\n",
       "      <td>2020</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1311424974989807618   30  17:57:33   cdcgov   \n",
       "1  1311392895375740929   30  15:50:05   cdcgov   \n",
       "2  1310990987058188289   29  13:13:03   cdcgov   \n",
       "\n",
       "                                               tweet  \\\n",
       "0  increases in vary by urbanization over the las...   \n",
       "1  join the next cdc covid 19 partner update call...   \n",
       "2  new shows infections among 22 year olds increa...   \n",
       "\n",
       "                         hashtags  \\\n",
       "0                       [covid19]   \n",
       "1  [covid19, sciencenews, health]   \n",
       "2                       [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [increases, in, vary, by, urbanization, over, ...   \n",
       "1  [join, the, next, cdc, covid, 19, partner, upd...   \n",
       "2  [new, shows, infections, among, 22, year, olds...   \n",
       "\n",
       "                                   normalized_tokens  year month  \n",
       "0  [increase, vary, urbanization, day, covid, cas...  2020    09  \n",
       "1  [join, cdc, covid, partner, update, monday, oc...  2020    09  \n",
       "2  [new, show, infection, year, old, increase, ea...  2020    09  "
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets03 = tweets_df[((tweets_df[\"month\"] == '07') |(tweets_df[\"month\"] == '08') | (tweets_df[\"month\"] == '09')) & (tweets_df[\"year\"] == '2020')]\n",
    "tweets03 = tweets03.reset_index(drop=True)\n",
    "tweets03[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:19.229428Z",
     "start_time": "2021-03-19T22:12:19.213432Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1344708066663690242</td>\n",
       "      <td>31</td>\n",
       "      <td>13:12:41</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>new shows covid 19 antigen tests can be fast a...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[new, shows, covid, 19, antigen, tests, can, b...</td>\n",
       "      <td>[new, show, covid, antigen, test, fast, inexpe...</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1344406982292287491</td>\n",
       "      <td>30</td>\n",
       "      <td>17:16:17</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>cases of covid 19 are highest among people age...</td>\n",
       "      <td>[]</td>\n",
       "      <td>[cases, of, covid, 19, are, highest, among, pe...</td>\n",
       "      <td>[case, covid, high, people, age, age, group, m...</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1344342593245765632</td>\n",
       "      <td>30</td>\n",
       "      <td>13:00:25</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>covid 19 science update read the latest resear...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[covid, 19, science, update, read, the, latest...</td>\n",
       "      <td>[covid, science, update, read, late, research,...</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1344708066663690242   31  13:12:41   cdcgov   \n",
       "1  1344406982292287491   30  17:16:17   cdcgov   \n",
       "2  1344342593245765632   30  13:00:25   cdcgov   \n",
       "\n",
       "                                               tweet   hashtags  \\\n",
       "0  new shows covid 19 antigen tests can be fast a...         []   \n",
       "1  cases of covid 19 are highest among people age...         []   \n",
       "2  covid 19 science update read the latest resear...  [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [new, shows, covid, 19, antigen, tests, can, b...   \n",
       "1  [cases, of, covid, 19, are, highest, among, pe...   \n",
       "2  [covid, 19, science, update, read, the, latest...   \n",
       "\n",
       "                                   normalized_tokens  year month  \n",
       "0  [new, show, covid, antigen, test, fast, inexpe...  2020    12  \n",
       "1  [case, covid, high, people, age, age, group, m...  2020    12  \n",
       "2  [covid, science, update, read, late, research,...  2020    12  "
      ]
     },
     "execution_count": 124,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets04 = tweets_df[((tweets_df[\"month\"] == '10') |(tweets_df[\"month\"] == '11') | (tweets_df[\"month\"] == '12')) & (tweets_df[\"year\"] == '2020')]\n",
    "tweets04 = tweets04.reset_index(drop=True)\n",
    "tweets04[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:19.603431Z",
     "start_time": "2021-03-19T22:12:19.587427Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>covid 19 and flu can both cause fever and cou...</td>\n",
       "      <td>[dyk, covid19]</td>\n",
       "      <td>[covid, 19, and, flu, can, both, cause, fever,...</td>\n",
       "      <td>[covid, flu, cause, fever, cough, shortness, b...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363885801755533313</td>\n",
       "      <td>22</td>\n",
       "      <td>11:18:09</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>a new looks at in georgia elementary schools t...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[a, new, looks, at, in, georgia, elementary, s...</td>\n",
       "      <td>[new, look, georgia, elementary, school, study...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1362865816765661190</td>\n",
       "      <td>19</td>\n",
       "      <td>15:45:06</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>officials are concerned about variants detecte...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[officials, are, concerned, about, variants, d...</td>\n",
       "      <td>[official, concern, variant, detect, u, s, b, ...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1363921515922796547   22  13:40:04   cdcgov   \n",
       "1  1363885801755533313   22  11:18:09   cdcgov   \n",
       "2  1362865816765661190   19  15:45:06   cdcgov   \n",
       "\n",
       "                                               tweet        hashtags  \\\n",
       "0   covid 19 and flu can both cause fever and cou...  [dyk, covid19]   \n",
       "1  a new looks at in georgia elementary schools t...       [covid19]   \n",
       "2  officials are concerned about variants detecte...       [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [covid, 19, and, flu, can, both, cause, fever,...   \n",
       "1  [a, new, looks, at, in, georgia, elementary, s...   \n",
       "2  [officials, are, concerned, about, variants, d...   \n",
       "\n",
       "                                   normalized_tokens  year month  \n",
       "0  [covid, flu, cause, fever, cough, shortness, b...  2021    02  \n",
       "1  [new, look, georgia, elementary, school, study...  2021    02  \n",
       "2  [official, concern, variant, detect, u, s, b, ...  2021    02  "
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets0121 = tweets_df[tweets_df[\"year\"] == '2021']\n",
    "tweets0121 = tweets0121.reset_index(drop=True)\n",
    "tweets0121[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:20.062431Z",
     "start_time": "2021-03-19T22:12:19.969429Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>tweet</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363979677098991620</td>\n",
       "      <td>22</td>\n",
       "      <td>17:31:11</td>\n",
       "      <td>#COVID19 vaccines are a safer way to build pro...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363934848868564996</td>\n",
       "      <td>22</td>\n",
       "      <td>14:33:03</td>\n",
       "      <td>New &amp;amp; updated #COVID19 videos are now avai...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>#DYK? COVID-19 and flu can both cause fever an...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1363917733033897987</td>\n",
       "      <td>22</td>\n",
       "      <td>13:25:02</td>\n",
       "      <td>#DYK? Symptoms of #COVID19 may overlap with sy...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1363911555440664579</td>\n",
       "      <td>22</td>\n",
       "      <td>13:00:29</td>\n",
       "      <td>“[We are] working with national, state and loc...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2571</th>\n",
       "      <td>1212828138734010368</td>\n",
       "      <td>02</td>\n",
       "      <td>15:08:56</td>\n",
       "      <td>OUTBREAK UPDATE: As of 12/27, 2,561 hospitaliz...</td>\n",
       "      <td>2020</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2572</th>\n",
       "      <td>1212797510923800576</td>\n",
       "      <td>02</td>\n",
       "      <td>13:07:13</td>\n",
       "      <td>NEW Report: Recommendations for Providing Qual...</td>\n",
       "      <td>2020</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2573</th>\n",
       "      <td>1212774053783724033</td>\n",
       "      <td>02</td>\n",
       "      <td>11:34:01</td>\n",
       "      <td>#DYK? At least 1.7 million adults in the U.S. ...</td>\n",
       "      <td>2020</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2574</th>\n",
       "      <td>1212758200338006016</td>\n",
       "      <td>02</td>\n",
       "      <td>10:31:01</td>\n",
       "      <td>Vaccinate your son or daughter against HPV whe...</td>\n",
       "      <td>2020</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2575</th>\n",
       "      <td>1212396317168881664</td>\n",
       "      <td>01</td>\n",
       "      <td>10:33:01</td>\n",
       "      <td>CDC wishes you and your family a healthy and #...</td>\n",
       "      <td>2020</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2576 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       id date      time  \\\n",
       "0     1363979677098991620   22  17:31:11   \n",
       "1     1363934848868564996   22  14:33:03   \n",
       "2     1363921515922796547   22  13:40:04   \n",
       "3     1363917733033897987   22  13:25:02   \n",
       "4     1363911555440664579   22  13:00:29   \n",
       "...                   ...  ...       ...   \n",
       "2571  1212828138734010368   02  15:08:56   \n",
       "2572  1212797510923800576   02  13:07:13   \n",
       "2573  1212774053783724033   02  11:34:01   \n",
       "2574  1212758200338006016   02  10:31:01   \n",
       "2575  1212396317168881664   01  10:33:01   \n",
       "\n",
       "                                                  tweet  year month  \n",
       "0     #COVID19 vaccines are a safer way to build pro...  2021    02  \n",
       "1     New &amp; updated #COVID19 videos are now avai...  2021    02  \n",
       "2     #DYK? COVID-19 and flu can both cause fever an...  2021    02  \n",
       "3     #DYK? Symptoms of #COVID19 may overlap with sy...  2021    02  \n",
       "4     “[We are] working with national, state and loc...  2021    02  \n",
       "...                                                 ...   ...   ...  \n",
       "2571  OUTBREAK UPDATE: As of 12/27, 2,561 hospitaliz...  2020    01  \n",
       "2572  NEW Report: Recommendations for Providing Qual...  2020    01  \n",
       "2573  #DYK? At least 1.7 million adults in the U.S. ...  2020    01  \n",
       "2574  Vaccinate your son or daughter against HPV whe...  2020    01  \n",
       "2575  CDC wishes you and your family a healthy and #...  2020    01  \n",
       "\n",
       "[2576 rows x 6 columns]"
      ]
     },
     "execution_count": 126,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cdc_tweets = []\n",
    "for line in open('data/cdc_twitter_since_2020.json', 'r', encoding='utf-8'):\n",
    "    cdc_tweets.append(json.loads(line))\n",
    "    \n",
    "cdc_df = pd.DataFrame(cdc_tweets)\n",
    "cdc_df = cdc_df[['id', 'date', 'time', 'tweet']]\n",
    "cdc_df['year'] = cdc_df['date'].apply(lambda x: x.split('-')[0])\n",
    "cdc_df['month'] = cdc_df['date'].apply(lambda x: x.split('-')[1])\n",
    "cdc_df['date'] = cdc_df['date'].apply(lambda x: x.split('-')[2])\n",
    "cdc_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:20.446521Z",
     "start_time": "2021-03-19T22:12:20.440530Z"
    }
   },
   "outputs": [],
   "source": [
    "all01 = cdc_df[((cdc_df[\"month\"] == '02') |(cdc_df[\"month\"] == '03')) & (cdc_df[\"year\"] == '2020')]\n",
    "all01 = all01.reset_index(drop=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:20.819532Z",
     "start_time": "2021-03-19T22:12:20.808487Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>tweet</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1245121663714328576</td>\n",
       "      <td>31</td>\n",
       "      <td>18:51:52</td>\n",
       "      <td>Community mitigation actions can push the peak...</td>\n",
       "      <td>2020</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1245121661688590341</td>\n",
       "      <td>31</td>\n",
       "      <td>18:51:52</td>\n",
       "      <td>#DYK? Disease outbreaks, including pandemics, ...</td>\n",
       "      <td>2020</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1245084712126865410</td>\n",
       "      <td>31</td>\n",
       "      <td>16:25:02</td>\n",
       "      <td>Retirement community staff: Lower the chances ...</td>\n",
       "      <td>2020</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time  \\\n",
       "0  1245121663714328576   31  18:51:52   \n",
       "1  1245121661688590341   31  18:51:52   \n",
       "2  1245084712126865410   31  16:25:02   \n",
       "\n",
       "                                               tweet  year month  \n",
       "0  Community mitigation actions can push the peak...  2020    03  \n",
       "1  #DYK? Disease outbreaks, including pandemics, ...  2020    03  \n",
       "2  Retirement community staff: Lower the chances ...  2020    03  "
      ]
     },
     "execution_count": 128,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all01 = all01.drop(all01[all01['date']<\"25\"].index)\n",
    "all01 = all01.reset_index(drop=True)\n",
    "all01[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:21.198525Z",
     "start_time": "2021-03-19T22:12:21.186487Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>tweet</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1278069913668780032</td>\n",
       "      <td>30</td>\n",
       "      <td>16:56:27</td>\n",
       "      <td>If you tested positive for #COVID19 and have n...</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1278034071143223296</td>\n",
       "      <td>30</td>\n",
       "      <td>14:34:01</td>\n",
       "      <td>Headed to a beach, lake, or river this summer?...</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1278028040786841600</td>\n",
       "      <td>30</td>\n",
       "      <td>14:10:04</td>\n",
       "      <td>Healthcare providers: Learn how telehealth tec...</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time  \\\n",
       "0  1278069913668780032   30  16:56:27   \n",
       "1  1278034071143223296   30  14:34:01   \n",
       "2  1278028040786841600   30  14:10:04   \n",
       "\n",
       "                                               tweet  year month  \n",
       "0  If you tested positive for #COVID19 and have n...  2020    06  \n",
       "1  Headed to a beach, lake, or river this summer?...  2020    06  \n",
       "2  Healthcare providers: Learn how telehealth tec...  2020    06  "
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all02 = cdc_df[((cdc_df[\"month\"] == '04') |(cdc_df[\"month\"] == '05') |(cdc_df[\"month\"] == '06')) & (cdc_df[\"year\"] == '2020')]\n",
    "all02 = all02.reset_index(drop=True)\n",
    "all02[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:21.576491Z",
     "start_time": "2021-03-19T22:12:21.564488Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>tweet</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1311424974989807618</td>\n",
       "      <td>30</td>\n",
       "      <td>17:57:33</td>\n",
       "      <td>Increases in #COVID19 vary by urbanization. Ov...</td>\n",
       "      <td>2020</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1311424971613319169</td>\n",
       "      <td>30</td>\n",
       "      <td>17:57:32</td>\n",
       "      <td>As of September 27, #COVID19 cases were trendi...</td>\n",
       "      <td>2020</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1311402982735572992</td>\n",
       "      <td>30</td>\n",
       "      <td>16:30:10</td>\n",
       "      <td>Salmonella Outbreak: 32 people in 17 states ha...</td>\n",
       "      <td>2020</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time  \\\n",
       "0  1311424974989807618   30  17:57:33   \n",
       "1  1311424971613319169   30  17:57:32   \n",
       "2  1311402982735572992   30  16:30:10   \n",
       "\n",
       "                                               tweet  year month  \n",
       "0  Increases in #COVID19 vary by urbanization. Ov...  2020    09  \n",
       "1  As of September 27, #COVID19 cases were trendi...  2020    09  \n",
       "2  Salmonella Outbreak: 32 people in 17 states ha...  2020    09  "
      ]
     },
     "execution_count": 130,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all03 = cdc_df[((cdc_df[\"month\"] == '07') |(cdc_df[\"month\"] == '08') |(cdc_df[\"month\"] == '09')) & (cdc_df[\"year\"] == '2020')]\n",
    "all03 = all03.reset_index(drop=True)\n",
    "all03[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:21.958651Z",
     "start_time": "2021-03-19T22:12:21.945627Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>tweet</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1344769057720070144</td>\n",
       "      <td>31</td>\n",
       "      <td>17:15:02</td>\n",
       "      <td>How do you keep an almost-eradicated virus in ...</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1344760752587071489</td>\n",
       "      <td>31</td>\n",
       "      <td>16:42:02</td>\n",
       "      <td>Attending a small celebration? Take steps to m...</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1344741626430816256</td>\n",
       "      <td>31</td>\n",
       "      <td>15:26:02</td>\n",
       "      <td>An ongoing CDC study of household spread of #C...</td>\n",
       "      <td>2020</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time  \\\n",
       "0  1344769057720070144   31  17:15:02   \n",
       "1  1344760752587071489   31  16:42:02   \n",
       "2  1344741626430816256   31  15:26:02   \n",
       "\n",
       "                                               tweet  year month  \n",
       "0  How do you keep an almost-eradicated virus in ...  2020    12  \n",
       "1  Attending a small celebration? Take steps to m...  2020    12  \n",
       "2  An ongoing CDC study of household spread of #C...  2020    12  "
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all04 = cdc_df[((cdc_df[\"month\"] == '10') |(cdc_df[\"month\"] == '11') |(cdc_df[\"month\"] == '12')) & (cdc_df[\"year\"] == '2020')]\n",
    "all04 = all04.reset_index(drop=True)\n",
    "all04[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:22.356638Z",
     "start_time": "2021-03-19T22:12:22.343674Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>tweet</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363979677098991620</td>\n",
       "      <td>22</td>\n",
       "      <td>17:31:11</td>\n",
       "      <td>#COVID19 vaccines are a safer way to build pro...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363934848868564996</td>\n",
       "      <td>22</td>\n",
       "      <td>14:33:03</td>\n",
       "      <td>New &amp;amp; updated #COVID19 videos are now avai...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>#DYK? COVID-19 and flu can both cause fever an...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time  \\\n",
       "0  1363979677098991620   22  17:31:11   \n",
       "1  1363934848868564996   22  14:33:03   \n",
       "2  1363921515922796547   22  13:40:04   \n",
       "\n",
       "                                               tweet  year month  \n",
       "0  #COVID19 vaccines are a safer way to build pro...  2021    02  \n",
       "1  New &amp; updated #COVID19 videos are now avai...  2021    02  \n",
       "2  #DYK? COVID-19 and flu can both cause fever an...  2021    02  "
      ]
     },
     "execution_count": 132,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all0121 = cdc_df[cdc_df[\"year\"] == '2021']\n",
    "all0121 = all0121.reset_index(drop=True)\n",
    "all0121[:3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tweet number plot (COVID-related vs. total)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:22.946673Z",
     "start_time": "2021-03-19T22:12:22.724693Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "matplotlib.rcParams.update({'font.family' : 'Times New Roman', 'font.size': 23})\n",
    "fig = plt.figure(figsize = (12,8))\n",
    "label_list = ['2020 02.25-03', '2020 04-06', '2020 07-09', '2020 10-12', '2021 01-02.22']\n",
    "num_list1 = [len(tweets01), len(tweets02), len(tweets03), len(tweets04), len(tweets0121)]\n",
    "num_list2 = [len(all01)-len(tweets01), len(all02)-len(tweets02), len(all03)-len(tweets03), \n",
    "             len(all04)-len(tweets04), len(all0121)-len(tweets0121)]\n",
    "num_list3 = [len(all01), len(all02), len(all03), len(all04), len(all0121)]\n",
    "x = range(len(num_list1))\n",
    "rects1 = plt.bar(x=x, height=num_list1, width=0.45, alpha=0.8, label=\"COVID-related\")\n",
    "rects2 = plt.bar(x=x, height=num_list2, width=0.45, label=\"Total\", bottom=num_list1)\n",
    "\n",
    "count = 0\n",
    "count2 = 0\n",
    "for i in num_list1:\n",
    "    plt.text(count,i+0.5, str('{:.2f}'.format(num_list1[count]/num_list3[count] *100)) +'%', \\\n",
    "    ha='center') #location, height, content, center\n",
    "    count+=1 #add percentage\n",
    "for i in num_list3: \n",
    "    plt.text(count2,i+20, str('{}'.format(num_list3[count2])), ha='center')\n",
    "    count2+=1\n",
    "    \n",
    "plt.ylim(0, 900)\n",
    "plt.ylabel(\"Number\")\n",
    "plt.xticks(x, label_list)\n",
    "plt.xlabel(\"Time\")\n",
    "plt.title(\"Number of CDC Tweets by Quarters\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Word and phrase frequency analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## whole CDC COVID tweets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:23.715633Z",
     "start_time": "2021-03-19T22:12:23.701690Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>covid 19 and flu can both cause fever and cou...</td>\n",
       "      <td>[dyk, covid19]</td>\n",
       "      <td>[covid, 19, and, flu, can, both, cause, fever,...</td>\n",
       "      <td>[covid, flu, cause, fever, cough, shortness, b...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363885801755533313</td>\n",
       "      <td>22</td>\n",
       "      <td>11:18:09</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>a new looks at in georgia elementary schools t...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[a, new, looks, at, in, georgia, elementary, s...</td>\n",
       "      <td>[new, look, georgia, elementary, school, study...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1362865816765661190</td>\n",
       "      <td>19</td>\n",
       "      <td>15:45:06</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>officials are concerned about variants detecte...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[officials, are, concerned, about, variants, d...</td>\n",
       "      <td>[official, concern, variant, detect, u, s, b, ...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1363921515922796547   22  13:40:04   cdcgov   \n",
       "1  1363885801755533313   22  11:18:09   cdcgov   \n",
       "2  1362865816765661190   19  15:45:06   cdcgov   \n",
       "\n",
       "                                               tweet        hashtags  \\\n",
       "0   covid 19 and flu can both cause fever and cou...  [dyk, covid19]   \n",
       "1  a new looks at in georgia elementary schools t...       [covid19]   \n",
       "2  officials are concerned about variants detecte...       [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [covid, 19, and, flu, can, both, cause, fever,...   \n",
       "1  [a, new, looks, at, in, georgia, elementary, s...   \n",
       "2  [officials, are, concerned, about, variants, d...   \n",
       "\n",
       "                                   normalized_tokens  year month  \n",
       "0  [covid, flu, cause, fever, cough, shortness, b...  2021    02  \n",
       "1  [new, look, georgia, elementary, school, study...  2021    02  \n",
       "2  [official, concern, variant, detect, u, s, b, ...  2021    02  "
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:24.102672Z",
     "start_time": "2021-03-19T22:12:24.080668Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "8106\n"
     ]
    }
   ],
   "source": [
    "tweetscfdist = nltk.ConditionalFreqDist(((len(w), w) for w in tweets_df['normalized_tokens'].sum()))\n",
    "\n",
    "#print the number of words\n",
    "print(tweetscfdist.N())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The most common 3-16 letter word, and their probabilities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:24.478629Z",
     "start_time": "2021-03-19T22:12:24.471631Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "3\n",
      "amp\n",
      "0.1553205551883675\n",
      "4\n",
      "case\n",
      "0.05594210965766769\n",
      "5\n",
      "covid\n",
      "0.2909457900807382\n",
      "6\n",
      "spread\n",
      "0.116796875\n",
      "7\n",
      "vaccine\n",
      "0.10963455149501661\n",
      "8\n",
      "forecast\n",
      "0.05538648813146683\n",
      "9\n",
      "community\n",
      "0.09978070175438597\n",
      "10\n",
      "healthcare\n",
      "0.08113207547169811\n",
      "11\n",
      "information\n",
      "0.13059701492537312\n",
      "12\n",
      "asymptomatic\n",
      "0.08387096774193549\n",
      "13\n",
      "administrator\n",
      "0.19318181818181818\n",
      "14\n",
      "recommendation\n",
      "0.5740740740740741\n",
      "15\n",
      "hospitalization\n",
      "1.0\n",
      "16\n",
      "disproportionate\n",
      "1.0\n"
     ]
    }
   ],
   "source": [
    "tweetscpdist = nltk.ConditionalProbDist(tweetscfdist, nltk.ELEProbDist)\n",
    "\n",
    "#print the most common 3-16 letter word, and their probabilities\n",
    "for i in range(3, 17):\n",
    "    print(i)\n",
    "    print(tweetscpdist[i].max())\n",
    "    print(tweetscpdist[i].prob(tweetscpdist[i].max()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:24.842703Z",
     "start_time": "2021-03-19T22:12:24.838699Z"
    }
   },
   "outputs": [],
   "source": [
    "def spacy_pos(word_list):\n",
    "    tags = []\n",
    "    doc = nlp(word_list.lower())\n",
    "    for w in doc:\n",
    "        tags.append((w.text, w.tag_))\n",
    "    return tags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:29.237803Z",
     "start_time": "2021-03-19T22:12:25.186698Z"
    }
   },
   "outputs": [],
   "source": [
    "tweets_df['normalized_tokens_POS'] = [spacy_pos(t) for t in tweets_df['tweet']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:29.707741Z",
     "start_time": "2021-03-19T22:12:29.668702Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>normalized_tokens_POS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>covid 19 and flu can both cause fever and cou...</td>\n",
       "      <td>[dyk, covid19]</td>\n",
       "      <td>[covid, 19, and, flu, can, both, cause, fever,...</td>\n",
       "      <td>[covid, flu, cause, fever, cough, shortness, b...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "      <td>[( , _SP), (covid, NNP), (19, CD), (and, CC), ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363885801755533313</td>\n",
       "      <td>22</td>\n",
       "      <td>11:18:09</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>a new looks at in georgia elementary schools t...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[a, new, looks, at, in, georgia, elementary, s...</td>\n",
       "      <td>[new, look, georgia, elementary, school, study...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "      <td>[(a, DT), (new, JJ), (looks, NNS), (at, IN), (...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1362865816765661190</td>\n",
       "      <td>19</td>\n",
       "      <td>15:45:06</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>officials are concerned about variants detecte...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[officials, are, concerned, about, variants, d...</td>\n",
       "      <td>[official, concern, variant, detect, u, s, b, ...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "      <td>[(officials, NNS), (are, VBP), (concerned, JJ)...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1363921515922796547   22  13:40:04   cdcgov   \n",
       "1  1363885801755533313   22  11:18:09   cdcgov   \n",
       "2  1362865816765661190   19  15:45:06   cdcgov   \n",
       "\n",
       "                                               tweet        hashtags  \\\n",
       "0   covid 19 and flu can both cause fever and cou...  [dyk, covid19]   \n",
       "1  a new looks at in georgia elementary schools t...       [covid19]   \n",
       "2  officials are concerned about variants detecte...       [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [covid, 19, and, flu, can, both, cause, fever,...   \n",
       "1  [a, new, looks, at, in, georgia, elementary, s...   \n",
       "2  [officials, are, concerned, about, variants, d...   \n",
       "\n",
       "                                   normalized_tokens  year month  \\\n",
       "0  [covid, flu, cause, fever, cough, shortness, b...  2021    02   \n",
       "1  [new, look, georgia, elementary, school, study...  2021    02   \n",
       "2  [official, concern, variant, detect, u, s, b, ...  2021    02   \n",
       "\n",
       "                               normalized_tokens_POS  \n",
       "0  [( , _SP), (covid, NNP), (19, CD), (and, CC), ...  \n",
       "1  [(a, DT), (new, JJ), (looks, NNS), (at, IN), (...  \n",
       "2  [(officials, NNS), (are, VBP), (concerned, JJ)...  "
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:30.199740Z",
     "start_time": "2021-03-19T22:12:30.140698Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('covid', 287), ('new', 102), ('national', 26), ('sick', 25), ('many', 25)]"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweetscfdist_WordtoPOS = nltk.ConditionalFreqDist(tweets_df['normalized_tokens_POS'].sum())\n",
    "tweetscfdist_POStoWord = nltk.ConditionalFreqDist((p, w) for w, p in tweets_df['normalized_tokens_POS'].sum())\n",
    "tweetscfdist_POStoWord['JJ'].most_common(5) # top 5 adjectives"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:30.634765Z",
     "start_time": "2021-03-19T22:12:30.629747Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FreqDist({'spread': 100, 'amp': 77, 'vaccine': 64, 'health': 58, 'update': 46, 'risk': 44, 'mask': 40, 'week': 37, 'report': 35, 'call': 35, ...})"
      ]
     },
     "execution_count": 142,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweetscfdist_POStoWord['NN']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:12:31.079746Z",
     "start_time": "2021-03-19T22:12:31.074698Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FreqDist({'be': 71, 'help': 68, 'learn': 51, 'protect': 36, 'have': 33, 'slow': 32, 'prevent': 27, 'stay': 26, 'wear': 23, 'spread': 23, ...})"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweetscfdist_POStoWord['VB']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:15.746662Z",
     "start_time": "2021-03-19T22:12:31.496415Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1499.5, 1499.5, -0.5)"
      ]
     },
     "execution_count": 144,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc = wordcloud.WordCloud(background_color=\"white\", max_words=500, width= 3000, \n",
    "                         height = 3000, mode ='RGBA', scale=.5).generate(' '.join(tweets_df['normalized_tokens'].sum()))\n",
    "plt.imshow(wc)\n",
    "plt.axis(\"off\")\n",
    "#plt.savefig(\"covid_tweets_word_cloud.pdf\", format = 'pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "cdc, learn, vaccine, wear mask, zoom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:16.188689Z",
     "start_time": "2021-03-19T22:13:16.185620Z"
    }
   },
   "outputs": [],
   "source": [
    "def sent_tokenize(word_list):\n",
    "    doc = nlp(word_list)\n",
    "    sentences = [sent.string.strip() for sent in doc.sents]\n",
    "    return sentences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:16.758621Z",
     "start_time": "2021-03-19T22:13:16.753625Z"
    }
   },
   "outputs": [],
   "source": [
    "def word_tokenize(word_list, model=nlp, MAX_LEN=1500000):   \n",
    "    tokenized = []\n",
    "    if type(word_list) == list and len(word_list) == 1:\n",
    "        word_list = word_list[0]\n",
    "\n",
    "    if type(word_list) == list:\n",
    "        word_list = ' '.join([str(elem) for elem in word_list]) \n",
    "    # since we're only tokenizing, I remove RAM intensive operations and increase max text size\n",
    "\n",
    "    model.max_length = MAX_LEN\n",
    "    doc = model(word_list, disable=[\"parser\", \"tagger\", \"ner\"])\n",
    "    \n",
    "    for token in doc:\n",
    "        if not token.is_punct and len(token.text.strip()) > 0:\n",
    "            tokenized.append(token.text)\n",
    "    return tokenized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:20.991670Z",
     "start_time": "2021-03-19T22:13:17.192999Z"
    }
   },
   "outputs": [],
   "source": [
    "tweets_df['sentences'] = tweets_df['tweet'].apply(lambda x: [word_tokenize(s) for s in sent_tokenize(x)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:21.457689Z",
     "start_time": "2021-03-19T22:13:21.452671Z"
    }
   },
   "outputs": [],
   "source": [
    "def tag_sents_pos(sentences):\n",
    "    \"\"\"\n",
    "    function which replicates NLTK pos tagging on sentences.\n",
    "    \"\"\"\n",
    "    new_sents = []\n",
    "    for sentence in sentences:\n",
    "        new_sent = ' '.join(sentence)\n",
    "        new_sents.append(new_sent)\n",
    "    final_string = ' '.join(new_sents)\n",
    "    doc = nlp(final_string)\n",
    "    \n",
    "    pos_sents = []\n",
    "    for sent in doc.sents:\n",
    "        pos_sent = []\n",
    "        for token in sent:\n",
    "            pos_sent.append((token.text, token.tag_))\n",
    "        pos_sents.append(pos_sent)\n",
    "    \n",
    "    return pos_sents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:25.719503Z",
     "start_time": "2021-03-19T22:13:21.934670Z"
    }
   },
   "outputs": [],
   "source": [
    "tweets_df['POS_sents'] = tweets_df['sentences'].apply(lambda x: tag_sents_pos(x))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### count the number of verbs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:26.253098Z",
     "start_time": "2021-03-19T22:13:26.242153Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('be', 71),\n",
       " ('help', 68),\n",
       " ('learn', 51),\n",
       " ('protect', 36),\n",
       " ('have', 33),\n",
       " ('slow', 32),\n",
       " ('prevent', 27),\n",
       " ('stay', 26),\n",
       " ('wear', 23),\n",
       " ('spread', 23),\n",
       " ('total', 20),\n",
       " ('take', 19),\n",
       " ('get', 17),\n",
       " ('know', 16),\n",
       " ('see', 15),\n",
       " ('stop', 14),\n",
       " ('reduce', 13),\n",
       " ('keep', 12),\n",
       " ('join', 10),\n",
       " ('wash', 10)]"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#count the number of VB (verbs)\n",
    "countTarget = 'VB'\n",
    "targetCounts = {}\n",
    "for entry in tweets_df['POS_sents']:\n",
    "    for sentence in entry:\n",
    "        for ent, kind in sentence:\n",
    "            if kind != countTarget:\n",
    "                continue\n",
    "            elif ent in targetCounts:\n",
    "                targetCounts[ent] += 1\n",
    "            else:\n",
    "                targetCounts[ent] = 1\n",
    "verb_noun_sortedTargets = sorted(targetCounts.items(), key = lambda x: x[1], reverse = True)\n",
    "verb_noun_sortedTargets[:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### count the number of Nouns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:26.830110Z",
     "start_time": "2021-03-19T22:13:26.821094Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('spread', 100),\n",
       " ('amp', 77),\n",
       " ('vaccine', 64),\n",
       " ('health', 58),\n",
       " ('update', 46),\n",
       " ('risk', 44),\n",
       " ('mask', 40),\n",
       " ('week', 37),\n",
       " ('report', 35),\n",
       " ('call', 35),\n",
       " ('community', 29),\n",
       " ('pandemic', 28),\n",
       " ('contact', 26),\n",
       " ('virus', 26),\n",
       " ('illness', 25),\n",
       " ('cdcs', 24),\n",
       " ('zoom', 23),\n",
       " ('care', 22),\n",
       " ('home', 21),\n",
       " ('use', 18)]"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#count the number of NN (nouns)\n",
    "countTarget = 'NN'\n",
    "targetCounts = {}\n",
    "for entry in tweets_df['POS_sents']:\n",
    "    for sentence in entry:\n",
    "        for ent, kind in sentence:\n",
    "            if kind != countTarget:\n",
    "                continue\n",
    "            elif ent in targetCounts:\n",
    "                targetCounts[ent] += 1\n",
    "            else:\n",
    "                targetCounts[ent] = 1\n",
    "noun_sortedTargets = sorted(targetCounts.items(), key = lambda x: x[1], reverse = True)\n",
    "noun_sortedTargets[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:27.390115Z",
     "start_time": "2021-03-19T22:13:27.384111Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_modify_word(NTarget, Word):\n",
    "    NResults = set()\n",
    "    for entry in tweets_df['POS_sents']:\n",
    "        for sentence in entry:\n",
    "            for (ent1, kind1),(ent2,kind2) in zip(sentence[:-2], sentence[2:]):\n",
    "                if (kind1,ent2.lower())==(NTarget,Word):\n",
    "                    NResults.add(ent1)\n",
    "                else:\n",
    "                    continue\n",
    "    return NResults"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:28.047498Z",
     "start_time": "2021-03-19T22:13:27.969218Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'spread': {'covid', 'likely', 'long', 'rapid', 'slow', 'unlikely'},\n",
       " 'amp': {'covid', 'key', 'many', 'mental', 'serious', 'sick', 'updated'},\n",
       " 'vaccine': {'annual', 'covid', 'respiratory', 'variant'},\n",
       " 'health': {'local', 'national', 'telehealth'},\n",
       " 'update': set(),\n",
       " 'risk': {'little'},\n",
       " 'mask': {'mental'},\n",
       " 'week': {'public'},\n",
       " 'report': {'likely'},\n",
       " 'call': {'next'},\n",
       " 'community': {'rural'},\n",
       " 'pandemic': {'covid'},\n",
       " 'contact': {'covid', 'diagnostic', 'second', 'sick'},\n",
       " 'virus': {'covid'},\n",
       " 'illness': {'covid', 'sick'},\n",
       " 'cdcs': {'covid', 'different', 'new', 'pandemic', 'rural', 'widespread'},\n",
       " 'zoom': {'available'},\n",
       " 'care': {'covid', 'long'},\n",
       " 'home': {'symptomatic'},\n",
       " 'use': {'available', 'different', 'general', 'similar'}}"
      ]
     },
     "execution_count": 153,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the adjectives that modify the noun\n",
    "r_jj = {}\n",
    "for i, v in noun_sortedTargets[:20]:\n",
    "    #print(i)\n",
    "    r_jj[i] = get_modify_word(\"JJ\", str(i))\n",
    "r_jj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:28.658503Z",
     "start_time": "2021-03-19T22:13:28.576560Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'spread': {'decrease', 'limit', 'lower', 'prevent', 'reduce', 'slow', 'stop'},\n",
       " 'amp': {'have', 'make', 'protect', 'screen'},\n",
       " 'vaccine': {'get'},\n",
       " 'health': set(),\n",
       " 'update': set(),\n",
       " 'risk': {'be', 'pose', 'reduce'},\n",
       " 'mask': {'position', 'put', 'wear'},\n",
       " 'week': set(),\n",
       " 'report': {'be', 'collect'},\n",
       " 'call': {'answer'},\n",
       " 'community': {'report'},\n",
       " 'pandemic': {'stop'},\n",
       " 'contact': {'identify'},\n",
       " 'virus': {'fight', 'prevent', 'spread'},\n",
       " 'illness': {'cause', 'have', 'look'},\n",
       " 'cdcs': {'learn', 'subscribe'},\n",
       " 'zoom': set(),\n",
       " 'care': {'get', 'take'},\n",
       " 'home': {'recover'},\n",
       " 'use': {'save'}}"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#the verbs that modify the noun\n",
    "r_vb = {}\n",
    "for i, v in noun_sortedTargets[:20]:\n",
    "    r_vb[i] = get_modify_word(\"VB\", str(i))\n",
    "r_vb"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### top 10 related adjective and nouns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:29.216940Z",
     "start_time": "2021-03-19T22:13:29.205637Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['important', 'part'],\n",
       " ['certain', 'health'],\n",
       " ['bad', 'reaction'],\n",
       " ['second', 'dose'],\n",
       " ['second', 'dose'],\n",
       " ['first', 'appointment'],\n",
       " ['new', 'report'],\n",
       " ['current', 'vaccine'],\n",
       " ['adolescent', 'immunization'],\n",
       " ['real', 'world']]"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def find_part_relation(part1, part2, content):\n",
    "    NResults = []\n",
    "    for entry in content:\n",
    "        for sentence in entry:\n",
    "            for (ent1, kind1),(ent2,kind2) in zip(sentence[:-1], sentence[1:]):\n",
    "                if (kind1 == part1 and kind2 == part2) or  (kind1 == part2 and kind2 == part1):\n",
    "                    NResults.append([ent1,ent2])\n",
    "                else:\n",
    "                    continue\n",
    "    return NResults\n",
    "adj_noun_pairs = find_part_relation('JJ','NN',tweets_df['POS_sents'])\n",
    "adj_noun_pairs[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### top 10 related verbs and nouns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:29.754059Z",
     "start_time": "2021-03-19T22:13:29.747054Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['cause', 'fever'],\n",
       " ['share', 'information'],\n",
       " ['ensure', 'access'],\n",
       " ['support', 'implementation'],\n",
       " ['spread', 'wear'],\n",
       " ['mask', 'stay'],\n",
       " ['find', 'information'],\n",
       " ['week', 'see'],\n",
       " ['affect', 'pregnancy'],\n",
       " ['amp', 'avoid']]"
      ]
     },
     "execution_count": 156,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adj_noun_pairs = find_part_relation('VB','NN',tweets_df['POS_sents'])\n",
    "adj_noun_pairs[:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:30.321505Z",
     "start_time": "2021-03-19T22:13:30.311441Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['get', 'very'],\n",
       " ['nt', 'miss'],\n",
       " ['nt', 'live'],\n",
       " ['not', 'be'],\n",
       " ['safely', 'get'],\n",
       " ['nt', 'live'],\n",
       " ['also', 'continue'],\n",
       " ['increase', 'nationwide'],\n",
       " ['also', 'remind'],\n",
       " ['nt', 'know']]"
      ]
     },
     "execution_count": 157,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def find_part_relation(part1, part2, content):\n",
    "    NResults = []\n",
    "    for entry in content:\n",
    "        for sentence in entry:\n",
    "            for (ent1, kind1),(ent2,kind2) in zip(sentence[:-1], sentence[1:]):\n",
    "                if (kind1 == part1 and kind2 == part2)or  (kind1 == part2 and kind2 == part1):\n",
    "                    NResults.append([ent1,ent2])\n",
    "                else:\n",
    "                    continue\n",
    "    return NResults\n",
    "vb_noun_pairs = find_part_relation('VB','RB',tweets_df['POS_sents'])\n",
    "vb_noun_pairs[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### bigrams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:30.901182Z",
     "start_time": "2021-03-19T22:13:30.859143Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There are 8106 bigrams in the finder\n",
      "[('spread', 'covid'), ('covid', 'vaccine'), ('forecast', 'predict'), ('pm', 'et'), ('wear', 'mask'), ('slow', 'spread'), ('zoom', 'topic'), ('covid', 'datum'), ('et', 'zoom'), ('new', 'death')]\n"
     ]
    }
   ],
   "source": [
    "#bigrams\n",
    "tweetsBigrams = nltk.collocations.BigramCollocationFinder.from_words(tweets_df['normalized_tokens'].sum())\n",
    "print(\"There are {} bigrams in the finder\".format(tweetsBigrams.N))\n",
    "\n",
    "def bigramScoring(count, wordsTuple, total):\n",
    "    return count\n",
    "\n",
    "print(tweetsBigrams.nbest(bigramScoring, 10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:31.469290Z",
     "start_time": "2021-03-19T22:13:31.427294Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(('pm', 'et'), 479.2373580925537),\n",
       " (('forecast', 'predict'), 466.4113797544349),\n",
       " (('wear', 'mask'), 336.605535283364),\n",
       " (('zoom', 'topic'), 316.1086042444233),\n",
       " (('u', 's'), 292.37064165023065),\n",
       " (('et', 'zoom'), 275.41524757488617),\n",
       " (('slow', 'spread'), 263.72834700658706),\n",
       " (('unite', 'state'), 245.62745614309722),\n",
       " (('retweet', 'register'), 228.92748282183425),\n",
       " (('week', 'end'), 227.10839654348368),\n",
       " (('wash', 'hand'), 226.7389386813828),\n",
       " (('partner', 'update'), 211.42998495881966),\n",
       " (('national', 'forecast'), 209.5745361584621),\n",
       " (('datum', 'tracker'), 201.854015111622),\n",
       " (('predict', 'total'), 194.58415625249245),\n",
       " (('avoid', 'crowd'), 167.95751449905924),\n",
       " (('update', 'monday'), 154.28672581505407),\n",
       " (('spread', 'covid'), 144.77958476332296),\n",
       " (('racial', 'ethnic'), 141.53013457408042),\n",
       " (('stay', 'foot'), 140.58230707123255)]"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bigram_measures = nltk.collocations.BigramAssocMeasures()\n",
    "tweetsBigrams.score_ngrams(bigram_measures.likelihood_ratio)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:32.018329Z",
     "start_time": "2021-03-19T22:13:32.011294Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['chi_sq',\n",
       " 'dice',\n",
       " 'fisher',\n",
       " 'jaccard',\n",
       " 'likelihood_ratio',\n",
       " 'mi_like',\n",
       " 'phi_sq',\n",
       " 'pmi',\n",
       " 'poisson_stirling',\n",
       " 'raw_freq',\n",
       " 'student_t']"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[s for s in dir(bigram_measures) if s[0] != '_']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### trigrams, N-grams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:32.665814Z",
     "start_time": "2021-03-19T22:13:32.572114Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(('et', 'zoom', 'topic'), 4.898854620081321),\n",
       " (('pm', 'et', 'zoom'), 4.898824349660707),\n",
       " (('total', 'covid', 'death'), 4.686687202329723),\n",
       " (('report', 'week', 'end'), 4.582123764661537),\n",
       " (('death', 'report', 'week'), 4.581349027014161),\n",
       " (('covid', 'datum', 'tracker'), 4.579869134637737),\n",
       " (('new', 'death', 'report'), 4.5796589511834025),\n",
       " (('national', 'forecast', 'predict'), 4.471940550305844),\n",
       " (('forecast', 'predict', 'total'), 4.471933812212956),\n",
       " (('predict', 'total', 'covid'), 4.469871955789399),\n",
       " (('forecast', 'predict', 'new'), 4.35815923783493),\n",
       " (('predict', 'new', 'death'), 4.357649662793196),\n",
       " (('slow', 'spread', 'covid'), 4.230518531157653),\n",
       " (('death', 'unite', 'state'), 3.9995766676291176),\n",
       " (('covid', 'death', 'unite'), 3.996502303034022),\n",
       " (('partner', 'update', 'monday'), 3.8728893320803093),\n",
       " (('prevent', 'spread', 'covid'), 3.8629502057169023),\n",
       " (('cdc', 'partner', 'update'), 3.463414890006165),\n",
       " (('covid', 'science', 'update'), 3.4621530748628984),\n",
       " (('help', 'slow', 'spread'), 3.461479903227764)]"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "trigram_measures = nltk.collocations.TrigramAssocMeasures()\n",
    "tweetsTrigrams = nltk.collocations.TrigramCollocationFinder.from_words(tweets_df['normalized_tokens'].sum())\n",
    "tweetsTrigrams.score_ngrams(trigram_measures.student_t)[:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:33.202924Z",
     "start_time": "2021-03-19T22:13:33.188748Z"
    }
   },
   "outputs": [],
   "source": [
    "Ngrams = nltk.ngrams(tweets_df['normalized_tokens'].sum(), 4)\n",
    "Counts = {}\n",
    "for ngram in list(Ngrams):\n",
    "    if ngram in Counts.keys():\n",
    "        Counts[ngram] += 1\n",
    "    else:\n",
    "        Counts[ngram] = 1\n",
    "Filtered = {}\n",
    "for key in Counts.keys():\n",
    "    if Counts[key] < 2:\n",
    "        pass\n",
    "    else:\n",
    "        Filtered[key] = Counts[key]\n",
    "#print(Filtered)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:33.726749Z",
     "start_time": "2021-03-19T22:13:33.721754Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[(('fever', 'cough', 'shortness', 'breath'), 2), (('use', 'chart', 'learn', 'similarity'), 2), (('chart', 'learn', 'similarity', 'difference'), 2), (('learn', 'covid', 'science', 'update'), 2), (('cdcs', 'new', 'covid', 'datum'), 2)]\n"
     ]
    }
   ],
   "source": [
    "print(list(Filtered.items())[:5])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:34.285317Z",
     "start_time": "2021-03-19T22:13:34.225885Z"
    },
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "skipgrams = keras.preprocessing.sequence.skipgrams(tweets_df['normalized_tokens'].sum(), 2000, 2,\n",
    "                                                        negative_samples=0, shuffle=True, \n",
    "                                                        categorical=False, sampling_table=None, seed=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 165,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:34.899543Z",
     "start_time": "2021-03-19T22:13:34.857381Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('health',\n",
       "  FreqDist({'public': 16, 'covid': 12, 'department': 8, 'amp': 7, 'address': 5, 'mental': 5, 'official': 5, 'local': 5, 'equity': 5, 'dept': 4, ...})),\n",
       " ('cope',\n",
       "  FreqDist({'monitor': 1, 'eat': 1, 'important': 1, 'amp': 1, 'distance': 1, 'resilience': 1, 'healthy': 1, 'promote': 1, 'hard': 1, 'good': 1, ...})),\n",
       " ('sure',\n",
       "  FreqDist({'covid': 4, 'wear': 3, 'spread': 3, 'right': 3, 'vietnamese': 1, 'care': 1, 'language': 1, 'screen': 1, 'let': 1, 'newborn': 1, ...})),\n",
       " ('increase',\n",
       "  FreqDist({'risk': 9, 'covid': 7, 'case': 6, 's': 5, 'rate': 5, 'love': 4, 'show': 4, 'week': 4, 'w': 3, 'people': 3, ...})),\n",
       " ('covid',\n",
       "  FreqDist({'spread': 82, 'vaccine': 58, 'learn': 56, 'datum': 43, 'case': 39, 'cdc': 34, 'death': 33, 'people': 31, 'cdcs': 30, 'update': 25, ...}))]"
      ]
     },
     "execution_count": 165,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "skip_con = nltk.ConditionalFreqDist(skipgrams[0])\n",
    "list(skip_con.items())[:5]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 166,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:35.402660Z",
     "start_time": "2021-03-19T22:13:35.397660Z"
    }
   },
   "outputs": [],
   "source": [
    "def tag_sents_ner(sentences):\n",
    "    \"\"\"\n",
    "    function which replicates NLTK ner tagging on sentences.\n",
    "    \"\"\"\n",
    "    new_sents = []\n",
    "    for sentence in sentences:\n",
    "        new_sent = ' '.join(sentence)\n",
    "        new_sents.append(new_sent)\n",
    "    final_string = ' '.join(new_sents)\n",
    "    doc = nlp(final_string)\n",
    "    \n",
    "    pos_sents = []\n",
    "    for sent in doc.sents:\n",
    "        pos_sent = []\n",
    "        for ent in sent.ents:\n",
    "            pos_sent.append((ent.text, ent.label_))\n",
    "        pos_sents.append(pos_sent)\n",
    "    \n",
    "    return pos_sents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 167,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:39.842609Z",
     "start_time": "2021-03-19T22:13:35.903658Z"
    }
   },
   "outputs": [],
   "source": [
    "tweets_df['classified_sents'] = tweets_df['sentences'].apply(lambda x: tag_sents_ner(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:40.451172Z",
     "start_time": "2021-03-19T22:13:40.382888Z"
    }
   },
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>hashtags</th>\n",
       "      <th>tokenized_tweet</th>\n",
       "      <th>normalized_tokens</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>normalized_tokens_POS</th>\n",
       "      <th>sentences</th>\n",
       "      <th>POS_sents</th>\n",
       "      <th>classified_sents</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1363921515922796547</td>\n",
       "      <td>22</td>\n",
       "      <td>13:40:04</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>covid 19 and flu can both cause fever and cou...</td>\n",
       "      <td>[dyk, covid19]</td>\n",
       "      <td>[covid, 19, and, flu, can, both, cause, fever,...</td>\n",
       "      <td>[covid, flu, cause, fever, cough, shortness, b...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "      <td>[( , _SP), (covid, NNP), (19, CD), (and, CC), ...</td>\n",
       "      <td>[[covid, 19, and, flu, can, both, cause, fever...</td>\n",
       "      <td>[[(covid, NNP), (19, CD), (and, CC), (flu, NN)...</td>\n",
       "      <td>[[(covid 19, PERSON)], [(19, CARDINAL)]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1363885801755533313</td>\n",
       "      <td>22</td>\n",
       "      <td>11:18:09</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>a new looks at in georgia elementary schools t...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[a, new, looks, at, in, georgia, elementary, s...</td>\n",
       "      <td>[new, look, georgia, elementary, school, study...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "      <td>[(a, DT), (new, JJ), (looks, NNS), (at, IN), (...</td>\n",
       "      <td>[[a, new, looks, at, in, georgia, elementary, ...</td>\n",
       "      <td>[[(a, DT), (new, JJ), (looks, NNS), (at, IN), ...</td>\n",
       "      <td>[[(georgia, GPE), (19, CARDINAL)]]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1362865816765661190</td>\n",
       "      <td>19</td>\n",
       "      <td>15:45:06</td>\n",
       "      <td>cdcgov</td>\n",
       "      <td>officials are concerned about variants detecte...</td>\n",
       "      <td>[covid19]</td>\n",
       "      <td>[officials, are, concerned, about, variants, d...</td>\n",
       "      <td>[official, concern, variant, detect, u, s, b, ...</td>\n",
       "      <td>2021</td>\n",
       "      <td>02</td>\n",
       "      <td>[(officials, NNS), (are, VBP), (concerned, JJ)...</td>\n",
       "      <td>[[officials, are, concerned, about, variants, ...</td>\n",
       "      <td>[[(officials, NNS), (are, VBP), (concerned, JJ...</td>\n",
       "      <td>[[(the u s, GPE), (uk, GPE), (states, GPE), (1...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    id date      time username  \\\n",
       "0  1363921515922796547   22  13:40:04   cdcgov   \n",
       "1  1363885801755533313   22  11:18:09   cdcgov   \n",
       "2  1362865816765661190   19  15:45:06   cdcgov   \n",
       "\n",
       "                                               tweet        hashtags  \\\n",
       "0   covid 19 and flu can both cause fever and cou...  [dyk, covid19]   \n",
       "1  a new looks at in georgia elementary schools t...       [covid19]   \n",
       "2  officials are concerned about variants detecte...       [covid19]   \n",
       "\n",
       "                                     tokenized_tweet  \\\n",
       "0  [covid, 19, and, flu, can, both, cause, fever,...   \n",
       "1  [a, new, looks, at, in, georgia, elementary, s...   \n",
       "2  [officials, are, concerned, about, variants, d...   \n",
       "\n",
       "                                   normalized_tokens  year month  \\\n",
       "0  [covid, flu, cause, fever, cough, shortness, b...  2021    02   \n",
       "1  [new, look, georgia, elementary, school, study...  2021    02   \n",
       "2  [official, concern, variant, detect, u, s, b, ...  2021    02   \n",
       "\n",
       "                               normalized_tokens_POS  \\\n",
       "0  [( , _SP), (covid, NNP), (19, CD), (and, CC), ...   \n",
       "1  [(a, DT), (new, JJ), (looks, NNS), (at, IN), (...   \n",
       "2  [(officials, NNS), (are, VBP), (concerned, JJ)...   \n",
       "\n",
       "                                           sentences  \\\n",
       "0  [[covid, 19, and, flu, can, both, cause, fever...   \n",
       "1  [[a, new, looks, at, in, georgia, elementary, ...   \n",
       "2  [[officials, are, concerned, about, variants, ...   \n",
       "\n",
       "                                           POS_sents  \\\n",
       "0  [[(covid, NNP), (19, CD), (and, CC), (flu, NN)...   \n",
       "1  [[(a, DT), (new, JJ), (looks, NNS), (at, IN), ...   \n",
       "2  [[(officials, NNS), (are, VBP), (concerned, JJ...   \n",
       "\n",
       "                                    classified_sents  \n",
       "0           [[(covid 19, PERSON)], [(19, CARDINAL)]]  \n",
       "1                 [[(georgia, GPE), (19, CARDINAL)]]  \n",
       "2  [[(the u s, GPE), (uk, GPE), (states, GPE), (1...  "
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tweets_df[:3]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 169,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:13:40.961172Z",
     "start_time": "2021-03-19T22:13:40.954110Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('19', 456),\n",
       " ('cdc', 60),\n",
       " ('us', 31),\n",
       " ('the united states', 24),\n",
       " ('pm', 20),\n",
       " ('first', 15),\n",
       " ('one', 15),\n",
       " ('january', 13),\n",
       " ('october', 11),\n",
       " ('february', 10)]"
      ]
     },
     "execution_count": 169,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "entityCounts = {}\n",
    "for entry in tweets_df['classified_sents']:\n",
    "    for sentence in entry:\n",
    "        for ent, kind in sentence:\n",
    "            if ent in entityCounts:\n",
    "                entityCounts[ent] += 1\n",
    "            else:\n",
    "                entityCounts[ent] = 1\n",
    "sortedEntities = sorted(entityCounts.items(), key = lambda x: x[1], reverse = True)\n",
    "sortedEntities[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Feb and Mar, 2020 wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:14:04.809914Z",
     "start_time": "2021-03-19T22:13:41.473151Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1499.5, 1499.5, -0.5)"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc = wordcloud.WordCloud(background_color=\"white\", max_words=500, width= 3000, \n",
    "                         height = 3000, mode ='RGBA', scale=.5).generate(' '.join(tweets01['normalized_tokens'].sum()))\n",
    "plt.imshow(wc)\n",
    "plt.axis(\"off\")\n",
    "#plt.savefig(\"covid_tweets_01_word_cloud.pdf\", format = 'pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"old\", \"adult\", \"learn\" is relatively small"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Apr - June, 2020 wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 171,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:14:48.174011Z",
     "start_time": "2021-03-19T22:14:05.342316Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1499.5, 1499.5, -0.5)"
      ]
     },
     "execution_count": 171,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc = wordcloud.WordCloud(background_color=\"white\", max_words=500, width= 3000, \n",
    "                         height = 3000, mode ='RGBA', scale=.5).generate(' '.join(tweets02['normalized_tokens'].sum()))\n",
    "plt.imshow(wc)\n",
    "plt.axis(\"off\")\n",
    "#plt.savefig(\"covid_tweets_02_word_cloud.pdf\", format = 'pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"learn\" is larger, \"outbreak\", \"child\", \"pet\", \"face cloth\" appread"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## July - Sept, 2020 wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 172,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:15:30.551010Z",
     "start_time": "2021-03-19T22:14:48.707076Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1499.5, 1499.5, -0.5)"
      ]
     },
     "execution_count": 172,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc = wordcloud.WordCloud(background_color=\"white\", max_words=500, width= 3000, height = 3000,\n",
    "                         mode ='RGBA', scale=.5).generate(' '.join(tweets03['normalized_tokens'].sum()))\n",
    "plt.imshow(wc)\n",
    "plt.axis(\"off\")\n",
    "#plt.savefig(\"covid_tweets_03_word_cloud.pdf\", format = 'pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:58:45.300474Z",
     "start_time": "2021-03-19T22:58:45.295479Z"
    }
   },
   "source": [
    "\"learn,\" \"symptoms\", becomes even larger, \"increase\", \"wear mask\" appear"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Oct - Dec, 2020 wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:16:11.308628Z",
     "start_time": "2021-03-19T22:15:31.075063Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1499.5, 1499.5, -0.5)"
      ]
     },
     "execution_count": 173,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc = wordcloud.WordCloud(background_color=\"white\", max_words=500, width= 3000, height = 3000, \n",
    "                         mode ='RGBA', scale=.5).generate(' '.join(tweets04['normalized_tokens'].sum()))\n",
    "plt.imshow(wc)\n",
    "plt.axis(\"off\")\n",
    "#plt.savefig(\"covid_tweets_04_word_cloud.pdf\", format = 'pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"vaccine\" first appears, \"increase\" is smaller, \"Wear mask\" is larger"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Jan - Feb, 2021 wordcloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2021-03-19T22:16:53.624971Z",
     "start_time": "2021-03-19T22:16:11.846658Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-0.5, 1499.5, 1499.5, -0.5)"
      ]
     },
     "execution_count": 174,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wc = wordcloud.WordCloud(background_color=\"white\", max_words=500, width= 3000, height = 3000, \n",
    "                         mode ='RGBA', scale=.5).generate(' '.join(tweets0121['normalized_tokens'].sum()))\n",
    "plt.imshow(wc)\n",
    "plt.axis(\"off\")\n",
    "#plt.savefig(\"covid_tweets_01_21_word_cloud.pdf\", format = 'pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"vaccine\" becomes a big word, \"receive dose\" first appears"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "273.2px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}