Exploratory analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring COVID-19 in the News"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hanyong Xu\n",
    "\n",
    "COVID-19 has impacted every fields in our life. By analyzing the news text with machine learning techniques, one can figure out the underlying trend in news as well as comparing the attitude and action done by different organizations.\n",
    "\n",
    "Data source: [COVID-19 News Articles Open Research Dataset](https://www.kaggle.com/ryanxjhan/cbc-news-coronavirus-articles-march-26), which comes from CBC news's own search result regarding coronavirus."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\HanyongXu\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\HanyongXu\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime\n",
    "\n",
    "import nltk\n",
    "from nltk.tokenize import sent_tokenize,word_tokenize\n",
    "from nltk.probability import FreqDist\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.stem import PorterStemmer, WordNetLemmatizer\n",
    "import string\n",
    "\n",
    "nltk.download('punkt')\n",
    "nltk.download('wordnet')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>authors</th>\n",
       "      <th>title</th>\n",
       "      <th>publish_date</th>\n",
       "      <th>description</th>\n",
       "      <th>text</th>\n",
       "      <th>url</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>[]</td>\n",
       "      <td>'More vital now:' Gay-straight alliances go vi...</td>\n",
       "      <td>2020-05-03 1:30</td>\n",
       "      <td>Lily Overacker and Laurell Pallot start each g...</td>\n",
       "      <td>Lily Overacker and Laurell Pallot start each g...</td>\n",
       "      <td>https://www.cbc.ca/news/canada/calgary/gay-str...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>[]</td>\n",
       "      <td>Scientists aim to 'see' invisible transmission...</td>\n",
       "      <td>2020-05-02 8:00</td>\n",
       "      <td>Some researchers aim to learn more about how t...</td>\n",
       "      <td>This is an excerpt from Second Opinion, a week...</td>\n",
       "      <td>https://www.cbc.ca/news/technology/droplet-tra...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>['The Canadian Press']</td>\n",
       "      <td>Coronavirus: What's happening in Canada and ar...</td>\n",
       "      <td>2020-05-02 11:28</td>\n",
       "      <td>Canada's chief public health officer struck an...</td>\n",
       "      <td>The latest:  The lives behind the numbers: Wha...</td>\n",
       "      <td>https://www.cbc.ca/news/canada/coronavirus-cov...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>[]</td>\n",
       "      <td>B.C. announces 26 new coronavirus cases, new c...</td>\n",
       "      <td>2020-05-02 18:45</td>\n",
       "      <td>B.C. provincial health officer Dr. Bonnie Henr...</td>\n",
       "      <td>B.C. provincial health officer Dr. Bonnie Henr...</td>\n",
       "      <td>https://www.cbc.ca/news/canada/british-columbi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>[]</td>\n",
       "      <td>B.C. announces 26 new coronavirus cases, new c...</td>\n",
       "      <td>2020-05-02 18:45</td>\n",
       "      <td>B.C. provincial health officer Dr. Bonnie Henr...</td>\n",
       "      <td>B.C. provincial health officer Dr. Bonnie Henr...</td>\n",
       "      <td>https://www.cbc.ca/news/canada/british-columbi...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Unnamed: 0                 authors  \\\n",
       "0          0                      []   \n",
       "1          1                      []   \n",
       "2          2  ['The Canadian Press']   \n",
       "3          3                      []   \n",
       "4          4                      []   \n",
       "\n",
       "                                               title      publish_date  \\\n",
       "0  'More vital now:' Gay-straight alliances go vi...   2020-05-03 1:30   \n",
       "1  Scientists aim to 'see' invisible transmission...   2020-05-02 8:00   \n",
       "2  Coronavirus: What's happening in Canada and ar...  2020-05-02 11:28   \n",
       "3  B.C. announces 26 new coronavirus cases, new c...  2020-05-02 18:45   \n",
       "4  B.C. announces 26 new coronavirus cases, new c...  2020-05-02 18:45   \n",
       "\n",
       "                                         description  \\\n",
       "0  Lily Overacker and Laurell Pallot start each g...   \n",
       "1  Some researchers aim to learn more about how t...   \n",
       "2  Canada's chief public health officer struck an...   \n",
       "3  B.C. provincial health officer Dr. Bonnie Henr...   \n",
       "4  B.C. provincial health officer Dr. Bonnie Henr...   \n",
       "\n",
       "                                                text  \\\n",
       "0  Lily Overacker and Laurell Pallot start each g...   \n",
       "1  This is an excerpt from Second Opinion, a week...   \n",
       "2  The latest:  The lives behind the numbers: Wha...   \n",
       "3  B.C. provincial health officer Dr. Bonnie Henr...   \n",
       "4  B.C. provincial health officer Dr. Bonnie Henr...   \n",
       "\n",
       "                                                 url  \n",
       "0  https://www.cbc.ca/news/canada/calgary/gay-str...  \n",
       "1  https://www.cbc.ca/news/technology/droplet-tra...  \n",
       "2  https://www.cbc.ca/news/canada/coronavirus-cov...  \n",
       "3  https://www.cbc.ca/news/canada/british-columbi...  \n",
       "4  https://www.cbc.ca/news/canada/british-columbi...  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news = pd.read_csv(\"cbc-news-coronavirus-articles-march-26/news.csv\")\n",
    "news.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "stop_words=list(set(nltk.corpus.stopwords.words('english')))\n",
    "ps = PorterStemmer()\n",
    "lem = WordNetLemmatizer()\n",
    "punctuation = list(string.punctuation)\n",
    "ignore = stop_words+punctuation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Analysis 1: Word Frequency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cleanwords(input_text):\n",
    "    cleaned = []\n",
    "    tokenized_w = word_tokenize(input_text) #tokenize\n",
    "    for w in tokenized_w:\n",
    "        if w not in ignore: #remove stop words\n",
    "            cleaned.append(lem.lemmatize(w)) #lemmatize\n",
    "    return cleaned"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Word Frequency for all texts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "alltext = '. '.join(news.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "31173817"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(alltext)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "clean_text = cleanwords(alltext)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "FreqDist(clean_text).plot(30,cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Word Frequncy for all descriptions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "alldes = '. '.join(str(v) for v in news.description)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1242473"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(alldes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "clean_des = cleanwords(alldes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "FreqDist(clean_des).plot(30,cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Word Frequency for all titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "alltitle = '. '.join(news.title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "clean_title = cleanwords(alltitle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "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": [
    "FreqDist(clean_title).plot(30,cumulative=False)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Word Frequency by Month"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [],
   "source": [
    "news[\"datetime\"] = pd.to_datetime(news.publish_date, errors='coerce', format='%Y-%m-%d %H:%M')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "4  https://www.cbc.ca/news/canada/british-columbi... 2020-05-02 18:45:00  "
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 354,
   "metadata": {},
   "outputs": [],
   "source": [
    "news[\"week\"] = news['datetime'].dt.strftime('%W')\n",
    "news[\"month\"] = news['datetime'].dt.strftime('%m')\n",
    "news[\"day\"] = news['datetime'].dt.strftime('%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "metadata": {},
   "outputs": [
    {
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       "\n",
       "                                               title      publish_date  \\\n",
       "0  'More vital now:' Gay-straight alliances go vi...   2020-05-03 1:30   \n",
       "1  Scientists aim to 'see' invisible transmission...   2020-05-02 8:00   \n",
       "2  Coronavirus: What's happening in Canada and ar...  2020-05-02 11:28   \n",
       "3  B.C. announces 26 new coronavirus cases, new c...  2020-05-02 18:45   \n",
       "4  B.C. announces 26 new coronavirus cases, new c...  2020-05-02 18:45   \n",
       "\n",
       "                                         description  \\\n",
       "0  Lily Overacker and Laurell Pallot start each g...   \n",
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       "                                                text  \\\n",
       "0  Lily Overacker and Laurell Pallot start each g...   \n",
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       "3  B.C. provincial health officer Dr. Bonnie Henr...   \n",
       "4  B.C. provincial health officer Dr. Bonnie Henr...   \n",
       "\n",
       "                                                 url            datetime week  \\\n",
       "0  https://www.cbc.ca/news/canada/calgary/gay-str... 2020-05-03 01:30:00   17   \n",
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   "source": [
    "news.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 357,
   "metadata": {},
   "outputs": [],
   "source": [
    "news_w = news.groupby(['week'])['title'].apply('. '.join).reset_index()\n",
    "news_m = news.groupby(['month'])['title'].apply('. '.join).reset_index()\n",
    "news_d = news.groupby([\"month\",'day'])['title'].apply('. '.join).reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month\n",
       "01     182\n",
       "02     358\n",
       "03    2402\n",
       "04    3570\n",
       "05     269\n",
       "06       1\n",
       "07       2\n",
       "08       1\n",
       "12       2\n",
       "dtype: int64"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news.groupby(['month']).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "news_m = news_m[:5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "clean_t_m = []\n",
    "for index, row in news_m.iterrows():\n",
    "    clean_t_m.append(cleanwords(row.title))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\HanyongXu\\Anaconda3\\envs\\musa-620\\lib\\site-packages\\ipykernel_launcher.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    }
   ],
   "source": [
    "news_m[\"clean_t\"] = clean_t_m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
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       "      <th>0</th>\n",
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       "      <td>Canada won't follow U.S. and declare national ...</td>\n",
       "      <td>[Canada, wo, n't, follow, U.S., declare, natio...</td>\n",
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      ],
      "text/plain": [
       "  month                                              title  \\\n",
       "0    01  Canada won't follow U.S. and declare national ...   \n",
       "1    02  What you need to know now about coronavirus: 2...   \n",
       "2    03  Michigan hospitals jammed as coronavirus cases...   \n",
       "3    04  Did the WHO mishandle the global coronavirus p...   \n",
       "4    05  'More vital now:' Gay-straight alliances go vi...   \n",
       "\n",
       "                                             clean_t  \n",
       "0  [Canada, wo, n't, follow, U.S., declare, natio...  \n",
       "1  [What, need, know, coronavirus, 2nd, evacuatio...  \n",
       "2  [Michigan, hospital, jammed, coronavirus, case...  \n",
       "3  [Did, WHO, mishandle, global, coronavirus, pan...  \n",
       "4  ['More, vital, Gay-straight, alliance, go, vir...  "
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "news_m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "import itertools, collections"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 230,
   "metadata": {},
   "outputs": [],
   "source": [
    "def count_word_frequencies(words, col, top):\n",
    "\n",
    "    # Create counter\n",
    "    counter = collections.Counter(words)\n",
    "    \n",
    "    return pd.DataFrame(counter.most_common(top),\n",
    "                        columns=['words', col])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 271,
   "metadata": {},
   "outputs": [],
   "source": [
    "jan = count_word_frequencies(news_m.clean_t[0], \"Jan\", top=40)\n",
    "feb = count_word_frequencies(news_m.clean_t[1], \"Feb\", top=40)\n",
    "mar = count_word_frequencies(news_m.clean_t[2], \"Mar\", top=40)\n",
    "apr = count_word_frequencies(news_m.clean_t[3], \"Apr\", top=40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 273,
   "metadata": {},
   "outputs": [],
   "source": [
    "counts = jan.merge(feb, on=\"words\", how=\"outer\").merge(mar, on=\"words\", how=\"outer\").merge(apr, on=\"words\", how=\"outer\").fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 275,
   "metadata": {},
   "outputs": [],
   "source": [
    "count_pivot = counts.melt(id_vars=['words'], \n",
    "        var_name='month', value_name='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 277,
   "metadata": {},
   "outputs": [
    {
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       "      <th>0</th>\n",
       "      <td>coronavirus</td>\n",
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       "      <td>125.0</td>\n",
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       "      <th>1</th>\n",
       "      <td>China</td>\n",
       "      <td>Jan</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>say</td>\n",
       "      <td>Jan</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>case</td>\n",
       "      <td>Jan</td>\n",
       "      <td>34.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>outbreak</td>\n",
       "      <td>Jan</td>\n",
       "      <td>31.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         words month  count\n",
       "0  coronavirus   Jan  125.0\n",
       "1        China   Jan   48.0\n",
       "2          say   Jan   35.0\n",
       "3         case   Jan   34.0\n",
       "4     outbreak   Jan   31.0"
      ]
     },
     "execution_count": 277,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count_pivot.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x1296 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(6,18)})\n",
    "sns.set_style(\"whitegrid\")\n",
    "cmap = sns.cubehelix_palette(rot=-.2, as_cmap=True)\n",
    "g = sns.scatterplot(x=\"month\", y=\"words\",\n",
    "                     hue=\"count\", size=\"count\",\n",
    "                     palette=cmap, sizes=(50, 1800),\n",
    "                     data=count_pivot);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Analysis 2: Sentiment Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {},
   "outputs": [],
   "source": [
    "import textblob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [],
   "source": [
    "# subset the date out of range\n",
    "news_d = news_d[:-6]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [],
   "source": [
    "blobs = [textblob.TextBlob(t) for t in news_d.title]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sentiment(polarity=-0.1, subjectivity=0.6)"
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blobs[0].sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 370,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = {}\n",
    "#data['date'] = [t for t in news_d.month]\n",
    "data['polarity'] = [b.sentiment.polarity for b in blobs]\n",
    "data['subjectivity'] = [b.sentiment.subjectivity for b in blobs]\n",
    "data['text'] = [t for t in news_d.title]\n",
    "data = pd.DataFrame(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 371,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>polarity</th>\n",
       "      <th>subjectivity</th>\n",
       "      <th>text</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>-0.100000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>Previously unknown virus may be causing pneumo...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>China reports 1st death from 'new type of coro...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>China's mystery 'coronavirus' isn't currently ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.068182</td>\n",
       "      <td>0.252273</td>\n",
       "      <td>Woman with new coronavirus quarantined in Thai...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.021645</td>\n",
       "      <td>0.532468</td>\n",
       "      <td>'Possible' there was limited human-to-human tr...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>0.136364</td>\n",
       "      <td>0.454545</td>\n",
       "      <td>New coronavirus tested at Canada's national lab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>WHO concerned coronavirus spreading person to ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Saudi coronavirus work stymied at Canadian lab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>WHO to help Saudi Arabia's coronavirus investi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Italy's 1st MERS case travelled to Jordan</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>120 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     polarity  subjectivity                                               text\n",
       "0   -0.100000      0.600000  Previously unknown virus may be causing pneumo...\n",
       "1    0.136364      0.454545  China reports 1st death from 'new type of coro...\n",
       "2    0.000000      0.400000  China's mystery 'coronavirus' isn't currently ...\n",
       "3    0.068182      0.252273  Woman with new coronavirus quarantined in Thai...\n",
       "4    0.021645      0.532468  'Possible' there was limited human-to-human tr...\n",
       "..        ...           ...                                                ...\n",
       "115  0.136364      0.454545    New coronavirus tested at Canada's national lab\n",
       "116  0.000000      0.000000  WHO concerned coronavirus spreading person to ...\n",
       "117  0.000000      0.000000     Saudi coronavirus work stymied at Canadian lab\n",
       "118  0.000000      0.000000  WHO to help Saudi Arabia's coronavirus investi...\n",
       "119  0.000000      0.000000          Italy's 1st MERS case travelled to Jordan\n",
       "\n",
       "[120 rows x 3 columns]"
      ]
     },
     "execution_count": 371,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a figure and axes\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# histogram\n",
    "ax.hist(data['polarity'], bins='auto')\n",
    "ax.axvline(x=0, c='k', lw=2)\n",
    "\n",
    "# format\n",
    "ax.set_xlabel(\"Polarity\")\n",
    "ax.set_title(\"Polarity of COVID-19 News\", fontsize=16);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 374,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# create a figure and axes\n",
    "fig, ax = plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# histogram\n",
    "ax.hist(data['subjectivity'], bins='auto')\n",
    "ax.axvline(x=0.5, c='k', lw=2)\n",
    "\n",
    "# format\n",
    "ax.set_xlabel(\"Subjectivity\")\n",
    "ax.set_title(\"Subjectivity of COVID-19 News\", fontsize=16);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 376,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'figure.figsize':(6,6)})\n",
    "ax = sns.kdeplot(data=data['subjectivity'], data2=data['polarity'])"
   ]
  }
 ],
 "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": "3.6.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}