04_text1.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text analysis (part 1)\n",
    "\n",
    "In this notebook, we will:\n",
    "\n",
    "- Calculate interrater reliability.\n",
    "- Export data for coding.\n",
    "- Import coded data.\n",
    "- Score text with built-in TextBlob sentiment."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "from textblob import TextBlob\n",
    "from sklearn.metrics import cohen_kappa_score\n",
    "from nltk import agreement"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Interrater reliability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>true_scores</th>\n",
       "      <th>item</th>\n",
       "      <th>r1</th>\n",
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      "text/plain": [
       "   true_scores  item  r1  r2  r3\n",
       "0            2     1   1   1   1\n",
       "1            3     1   3   2   2\n",
       "2            3     2   3   2   2\n",
       "3            5     3   4   5   4\n",
       "4            2     4   2   1   2"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate some data.\n",
    "true_scores = [random.randrange(1, 7) for i in range(200)]\n",
    "r1_diff = [random.randrange(-1, 1) for i in range(200)]\n",
    "r2_diff = [random.randrange(-1, 1) for i in range(200)]\n",
    "r3_diff = [random.randrange(-1, 1) for i in range(200)]\n",
    "\n",
    "ratings = pd.DataFrame(true_scores, columns=['true_scores'])\n",
    "\n",
    "ratings['item'] = range(200)\n",
    "ratings['r1'] = ratings['true_scores'] + r1_diff\n",
    "ratings['r2'] = ratings['true_scores'] + r2_diff\n",
    "ratings['r3'] = ratings['true_scores'] + r3_diff\n",
    "ratings= ratings.clip(1, 7)\n",
    "\n",
    "ratings.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5105387133286428\n",
      "0.49837890744479096\n",
      "0.4732328800686022\n"
     ]
    }
   ],
   "source": [
    "# For two raters\n",
    "print(cohen_kappa_score(ratings['r1'], ratings['r2']))\n",
    "print(cohen_kappa_score(ratings['r2'], ratings['r3']))\n",
    "print(cohen_kappa_score(ratings['r1'], ratings['r3']))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kappa:   0.4940501669473453\n",
      "Fleiss:  0.4940582445045136\n",
      "Alpha:   0.49454572674873587\n"
     ]
    }
   ],
   "source": [
    "# NLTK\n",
    "# Note: recoding these is annoying, as you can see.\n",
    "#       We could reshape the columns and recode some stuff,\n",
    "#       but it's probably practically worse than this.\n",
    "\n",
    "ratings2_list = []\n",
    "rater = 0\n",
    "for rd in [r1_diff, r2_diff, r3_diff]:\n",
    "    values = np.array(true_scores) + np.array(rd)\n",
    "    df = pd.DataFrame(values, columns=['value'])\n",
    "    df = df.clip(1, 7)\n",
    "    df['rater'] = rater\n",
    "    df['item'] = range(200)\n",
    "    ratings2_list.append(df)\n",
    "    rater += 1\n",
    "\n",
    "ratings2 = pd.concat(ratings2_list, ignore_index=True)\n",
    "ratings_nltk = [tuple(x) for x in ratings2[['rater', 'item', 'value']].values]\n",
    "\n",
    "nltk_rate = agreement.AnnotationTask(data=ratings_nltk)\n",
    "\n",
    "print(f'Kappa:   {nltk_rate.kappa()}')\n",
    "print(f'Fleiss:  {nltk_rate.multi_kappa()}')\n",
    "print(f'Alpha:   {nltk_rate.alpha()}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exporting data for coding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <td>Introduce first phase of initiative with joint...</td>\n",
       "      <td>Introduce first phase of initiative with joint...</td>\n",
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      "text/plain": [
       "       article:modified_time     article:published_time article:section  \\\n",
       "0  2018-10-12T00:36:34+00:00  2018-10-11T23:16:52+00:00  Press Releases   \n",
       "1  2018-10-11T16:36:30+00:00  2018-10-11T14:00:25+00:00  Press Releases   \n",
       "2  2018-10-11T07:05:46+00:00  2018-10-11T07:04:28+00:00  Press Releases   \n",
       "3  2018-10-11T20:29:31+00:00  2018-10-10T18:00:22+00:00  Press Releases   \n",
       "4                        NaN  2018-10-10T15:15:58+00:00  Press Releases   \n",
       "\n",
       "                                                body  \\\n",
       "0  REDMOND, Wash. — Oct. 11, 2018 — Microsoft Cor...   \n",
       "1  INDIANAPOLIS – Oct. 11, 2018 – Today, Eric J. ...   \n",
       "2  MUMBAI, India — Oct. 11, 2018 — Microsoft Corp...   \n",
       "3  BOYDTON, Va. — Oct. 10, 2018 — Microsoft Corp....   \n",
       "4  Charleston, S.C. (October 10, 2018) — Blackbau...   \n",
       "\n",
       "                                                  h3  \\\n",
       "0  Microsoft to host earnings conference call web...   \n",
       "1  With support provided by Walmart, and in partn...   \n",
       "2                                                NaN   \n",
       "3                                                NaN   \n",
       "4  Introduce first phase of initiative with joint...   \n",
       "\n",
       "                                      og:description  \\\n",
       "0  Microsoft to host earnings conference call web...   \n",
       "1  With support provided by Walmart, and in partn...   \n",
       "2  Microsoft, Star India and Anil Kumble redefine...   \n",
       "3  BOYDTON, Va. — Oct. 10, 2018 — Microsoft Corp....   \n",
       "4  Introduce first phase of initiative with joint...   \n",
       "\n",
       "                                            og:title  \\\n",
       "0  Microsoft announces quarterly earnings release...   \n",
       "1  Indiana Governor Eric J. Holcomb, the Markle F...   \n",
       "2  Anil Kumble’s Microsoft AI-enabled Power Bat p...   \n",
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       "3  2018-10-11T20:29:31+00:00   \n",
       "4                        NaN   \n",
       "\n",
       "                                              og:url  \n",
       "0  https://news.microsoft.com/2018/10/11/microsof...  \n",
       "1  https://news.microsoft.com/2018/10/11/indiana-...  \n",
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       "3  https://news.microsoft.com/2018/10/10/microsof...  \n",
       "4  https://news.microsoft.com/2018/10/10/blackbau...  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_prs = pd.read_csv('./data/msft_prs.csv')\n",
    "msft_prs.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "msft_prs_export = msft_prs[['og:title']].copy()\n",
    "\n",
    "# We'd usually recover this from a filename or other metadata.\n",
    "msft_prs_export.loc[:,'id_ticker'] = 'msft'\n",
    "\n",
    "# Add empty columns for coding.\n",
    "_PR_COLS = ['cat_partner', 'cat_dividend', 'cat_award']\n",
    "for col in _PR_COLS:\n",
    "    msft_prs_export.loc[:,col] = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "                                            og:title id_ticker cat_partner  \\\n",
       "0  Microsoft announces quarterly earnings release...      msft               \n",
       "1  Indiana Governor Eric J. Holcomb, the Markle F...      msft               \n",
       "2  Anil Kumble’s Microsoft AI-enabled Power Bat p...      msft               \n",
       "3  Microsoft and Lake Country Satellite roll out ...      msft               \n",
       "4  Blackbaud and Microsoft expand partnership wit...      msft               \n",
       "\n",
       "  cat_dividend cat_award  \n",
       "0                         \n",
       "1                         \n",
       "2                         \n",
       "3                         \n",
       "4                         "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_prs_export.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's reorder to put the title at the end and export\n",
    "msft_prs_export[['id_ticker', 'cat_partner', \n",
    "                 'cat_dividend', 'cat_award',\n",
    "                 'og:title']].to_csv('./data/msft_pr_coding.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import from LIWC\n",
    "\n",
    "I ran these in LIWC for us.\n",
    "\n",
    "Note that it would be similar to import human-coded data, and we would not be dropping those columns in that case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Redline Communications and Microsoft announce ...</td>\n",
       "      <td>16</td>\n",
       "      <td>99.00</td>\n",
       "      <td>96.95</td>\n",
       "      <td>35.37</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
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       "      <td>2</td>\n",
       "      <td>msft</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Adobe, Microsoft and SAP announce the Open Dat...</td>\n",
       "      <td>18</td>\n",
       "      <td>99.00</td>\n",
       "      <td>71.09</td>\n",
       "      <td>58.07</td>\n",
       "      <td>...</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>msft</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Microsoft fortifies security and brings AI to ...</td>\n",
       "      <td>13</td>\n",
       "      <td>99.00</td>\n",
       "      <td>77.92</td>\n",
       "      <td>17.46</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>msft</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Shell expands strategic collaboration with Mic...</td>\n",
       "      <td>13</td>\n",
       "      <td>97.77</td>\n",
       "      <td>77.92</td>\n",
       "      <td>17.46</td>\n",
       "      <td>...</td>\n",
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       "</table>\n",
       "<p>5 rows × 99 columns</p>\n",
       "</div>"
      ],
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       "   Source (A) Source (B)  Source (C)  Source (D)  Source (E)  \\\n",
       "0           0       msft         NaN         NaN         NaN   \n",
       "1           1       msft         NaN         NaN         NaN   \n",
       "2           2       msft         NaN         NaN         NaN   \n",
       "3           3       msft         NaN         NaN         NaN   \n",
       "4           4       msft         NaN         NaN         NaN   \n",
       "\n",
       "                                          Source (F)  WC  Analytic  Clout  \\\n",
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       "2  Adobe, Microsoft and SAP announce the Open Dat...  18     99.00  71.09   \n",
       "3  Microsoft fortifies security and brings AI to ...  13     99.00  77.92   \n",
       "4  Shell expands strategic collaboration with Mic...  13     97.77  77.92   \n",
       "\n",
       "   Authentic   ...    Comma  Colon  SemiC  QMark  Exclam  Dash  Quote  \\\n",
       "0      19.27   ...     0.00    0.0    0.0    0.0     0.0  5.26    0.0   \n",
       "1      35.37   ...     0.00    0.0    0.0    0.0     0.0  6.25    0.0   \n",
       "2      58.07   ...     5.56    0.0    0.0    0.0     0.0  5.56    0.0   \n",
       "3      17.46   ...     0.00    0.0    0.0    0.0     0.0  7.69    0.0   \n",
       "4      17.46   ...     0.00    0.0    0.0    0.0     0.0  7.69    0.0   \n",
       "\n",
       "   Apostro  Parenth  OtherP  \n",
       "0      0.0      0.0     0.0  \n",
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       "\n",
       "[5 rows x 99 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_liwc = pd.read_csv('./data/msft_pr_liwc.csv')\n",
    "msft_liwc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To merge these back together, we want to use a key that makes sense.\n",
    "We could use index, but there's a good reason that I am not.\n",
    "It's likely that Microsoft will have a new press release between the time I'm preparing materials and the time that we use them.\n",
    "So, we want to merge on something that will make sense.\n",
    "\n",
    "Here, for expediency, I'm using the title column.\n",
    "However, I often use a hash function on the document body to create a unique document ID.\n",
    "This is especially helpful in news collections where a lot of the documents are returned for more than one search.\n",
    "We can calculate hash values, remove duplicates, and export those for coding.\n",
    "This prevents rework."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
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       "                                            og:title  WC  Analytic  Clout  \\\n",
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       "\n",
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       "\n",
       "[5 rows x 94 columns]"
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     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Drop the columns we already have.\n",
    "_DROP_LIWC = [f'Source ({i})' for i in 'ABCDE']\n",
    "msft_liwc = msft_liwc.drop(_DROP_LIWC, axis=1)\n",
    "msft_liwc= msft_liwc.rename(columns={'Source (F)': 'og:title'})\n",
    "msft_liwc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       "      <td>https://news.microsoft.com/2018/09/24/microsof...</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-09-20T15:19:45+00:00</td>\n",
       "      <td>2018-09-20T13:00:12+00:00</td>\n",
       "      <td>Press Releases</td>\n",
       "      <td>REDMOND, Wash., and HOUSTON — Sept. 20, 2018 —...</td>\n",
       "      <td>Shell appoints C3 IoT and Microsoft Azure as i...</td>\n",
       "      <td>Shell appoints C3 IoT and Microsoft Azure as i...</td>\n",
       "      <td>Shell expands strategic collaboration with Mic...</td>\n",
       "      <td>2018-09-20T15:19:45+00:00</td>\n",
       "      <td>https://news.microsoft.com/2018/09/20/shell-ex...</td>\n",
       "      <td>13</td>\n",
       "      <td>...</td>\n",
       "      <td>0.00</td>\n",
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      "text/plain": [
       "       article:modified_time     article:published_time article:section  \\\n",
       "0  2018-10-08T23:39:05+00:00  2018-10-08T23:00:25+00:00  Press Releases   \n",
       "1  2018-10-04T14:43:59+00:00  2018-10-04T13:00:35+00:00  Press Releases   \n",
       "2  2018-09-24T16:11:34+00:00  2018-09-24T13:30:14+00:00  Press Releases   \n",
       "3                        NaN  2018-09-24T13:01:27+00:00  Press Releases   \n",
       "4  2018-09-20T15:19:45+00:00  2018-09-20T13:00:12+00:00  Press Releases   \n",
       "\n",
       "                                              body_x  \\\n",
       "0  SINGAPORE and REDMOND, Wash. — Oct. 8, 2018 — ...   \n",
       "1  REDMOND, Wash. — Oct. 4, 2018 — On Thursday, R...   \n",
       "2  \\nShantanu Narayen, CEO, Adobe (left), Satya N...   \n",
       "3  ORLANDO, Fla. — Sept. 24, 2018 — Monday at Ign...   \n",
       "4  REDMOND, Wash., and HOUSTON — Sept. 20, 2018 —...   \n",
       "\n",
       "                                                  h3  \\\n",
       "0                                                NaN   \n",
       "1  The partnership will help make broadband more ...   \n",
       "2  Industry leaders team up to help customers con...   \n",
       "3  The company also demonstrated how AI, IoT and ...   \n",
       "4  Shell appoints C3 IoT and Microsoft Azure as i...   \n",
       "\n",
       "                                      og:description  \\\n",
       "0  Grab will adopt Microsoft Azure as its preferr...   \n",
       "1  The partnership will help make broadband more ...   \n",
       "2  Industry leaders team up to help customers con...   \n",
       "3  The company also demonstrated how AI, IoT and ...   \n",
       "4  Shell appoints C3 IoT and Microsoft Azure as i...   \n",
       "\n",
       "                                            og:title  \\\n",
       "0  Grab forges strategic cloud partnership with M...   \n",
       "1  Redline Communications and Microsoft announce ...   \n",
       "2  Adobe, Microsoft and SAP announce the Open Dat...   \n",
       "3  Microsoft fortifies security and brings AI to ...   \n",
       "4  Shell expands strategic collaboration with Mic...   \n",
       "\n",
       "             og:updated_time  \\\n",
       "0  2018-10-08T23:39:05+00:00   \n",
       "1  2018-10-04T14:43:59+00:00   \n",
       "2  2018-09-24T16:11:34+00:00   \n",
       "3                        NaN   \n",
       "4  2018-09-20T15:19:45+00:00   \n",
       "\n",
       "                                              og:url  WC   ...    Comma  \\\n",
       "0  https://news.microsoft.com/2018/10/08/grab-for...  19   ...     0.00   \n",
       "1  https://news.microsoft.com/2018/10/04/redline-...  16   ...     0.00   \n",
       "2  https://news.microsoft.com/2018/09/24/adobe-mi...  18   ...     5.56   \n",
       "3  https://news.microsoft.com/2018/09/24/microsof...  13   ...     0.00   \n",
       "4  https://news.microsoft.com/2018/09/20/shell-ex...  13   ...     0.00   \n",
       "\n",
       "   Colon  SemiC  QMark  Exclam  Dash  Quote  Apostro  Parenth  OtherP  \n",
       "0    0.0    0.0    0.0     0.0  5.26    0.0      0.0      0.0     0.0  \n",
       "1    0.0    0.0    0.0     0.0  6.25    0.0      0.0      0.0     0.0  \n",
       "2    0.0    0.0    0.0     0.0  5.56    0.0      0.0      0.0     0.0  \n",
       "3    0.0    0.0    0.0     0.0  7.69    0.0      0.0      0.0     0.0  \n",
       "4    0.0    0.0    0.0     0.0  7.69    0.0      0.0      0.0     0.0  \n",
       "\n",
       "[5 rows x 102 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_prs = msft_prs.merge(msft_liwc, on='og:title')\n",
    "msft_prs.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TextBlob\n",
    "\n",
    "Before applying textblob to our press releases, let's look at some examples to get a sense of how it works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sentiment(polarity=0.375, subjectivity=0.2)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string1 = 'Text analysis is a lot of fun!'\n",
    "TextBlob(string1).sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sentiment(polarity=0.25, subjectivity=1.0)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string2 = 'It is not scary.'\n",
    "TextBlob(string2).sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sentiment(polarity=-1.0, subjectivity=1.0)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string3 = 'Manual coding is the worst.'\n",
    "TextBlob(string3).sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sentiment(polarity=-0.2, subjectivity=0.95)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "string4 = 'Manual coding is kind of the worst.'\n",
    "TextBlob(string4).sentiment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Sentiment(polarity=-0.155, subjectivity=0.82)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strings = ' '.join([string1, string2, string3, string4])\n",
    "TextBlob(strings).sentiment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Like our comparison of web scraping and APIs, it's nice when we can work with data entirely inside of Python.\n",
    "\n",
    "We're going to start by defining some simple functions that we can use with pandas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "def tb_subjectivity(text):\n",
    "    return TextBlob(text).sentiment.subjectivity\n",
    "\n",
    "def tb_polarity(text):\n",
    "    return TextBlob(text).sentiment.polarity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "msft_prs['tb_subj'] = msft_prs['og:title'].apply(tb_subjectivity)\n",
    "msft_prs['tb_polar'] = msft_prs['og:title'].apply(tb_polarity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
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       "      <td>2018-09-24T13:30:14+00:00</td>\n",
       "      <td>Press Releases</td>\n",
       "      <td>\\nShantanu Narayen, CEO, Adobe (left), Satya N...</td>\n",
       "      <td>Industry leaders team up to help customers con...</td>\n",
       "      <td>Industry leaders team up to help customers con...</td>\n",
       "      <td>Adobe, Microsoft and SAP announce the Open Dat...</td>\n",
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       "      <td>Press Releases</td>\n",
       "      <td>ORLANDO, Fla. — Sept. 24, 2018 — Monday at Ign...</td>\n",
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       "      <td>2018-09-20T13:00:12+00:00</td>\n",
       "      <td>Press Releases</td>\n",
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       "      <td>Shell appoints C3 IoT and Microsoft Azure as i...</td>\n",
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       "      <td>2018-09-20T15:19:45+00:00</td>\n",
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       "       article:modified_time     article:published_time article:section  \\\n",
       "0  2018-10-08T23:39:05+00:00  2018-10-08T23:00:25+00:00  Press Releases   \n",
       "1  2018-10-04T14:43:59+00:00  2018-10-04T13:00:35+00:00  Press Releases   \n",
       "2  2018-09-24T16:11:34+00:00  2018-09-24T13:30:14+00:00  Press Releases   \n",
       "3                        NaN  2018-09-24T13:01:27+00:00  Press Releases   \n",
       "4  2018-09-20T15:19:45+00:00  2018-09-20T13:00:12+00:00  Press Releases   \n",
       "\n",
       "                                              body_x  \\\n",
       "0  SINGAPORE and REDMOND, Wash. — Oct. 8, 2018 — ...   \n",
       "1  REDMOND, Wash. — Oct. 4, 2018 — On Thursday, R...   \n",
       "2  \\nShantanu Narayen, CEO, Adobe (left), Satya N...   \n",
       "3  ORLANDO, Fla. — Sept. 24, 2018 — Monday at Ign...   \n",
       "4  REDMOND, Wash., and HOUSTON — Sept. 20, 2018 —...   \n",
       "\n",
       "                                                  h3  \\\n",
       "0                                                NaN   \n",
       "1  The partnership will help make broadband more ...   \n",
       "2  Industry leaders team up to help customers con...   \n",
       "3  The company also demonstrated how AI, IoT and ...   \n",
       "4  Shell appoints C3 IoT and Microsoft Azure as i...   \n",
       "\n",
       "                                      og:description  \\\n",
       "0  Grab will adopt Microsoft Azure as its preferr...   \n",
       "1  The partnership will help make broadband more ...   \n",
       "2  Industry leaders team up to help customers con...   \n",
       "3  The company also demonstrated how AI, IoT and ...   \n",
       "4  Shell appoints C3 IoT and Microsoft Azure as i...   \n",
       "\n",
       "                                            og:title  \\\n",
       "0  Grab forges strategic cloud partnership with M...   \n",
       "1  Redline Communications and Microsoft announce ...   \n",
       "2  Adobe, Microsoft and SAP announce the Open Dat...   \n",
       "3  Microsoft fortifies security and brings AI to ...   \n",
       "4  Shell expands strategic collaboration with Mic...   \n",
       "\n",
       "             og:updated_time  \\\n",
       "0  2018-10-08T23:39:05+00:00   \n",
       "1  2018-10-04T14:43:59+00:00   \n",
       "2  2018-09-24T16:11:34+00:00   \n",
       "3                        NaN   \n",
       "4  2018-09-20T15:19:45+00:00   \n",
       "\n",
       "                                              og:url  WC    ...     SemiC  \\\n",
       "0  https://news.microsoft.com/2018/10/08/grab-for...  19    ...       0.0   \n",
       "1  https://news.microsoft.com/2018/10/04/redline-...  16    ...       0.0   \n",
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       "3  https://news.microsoft.com/2018/09/24/microsof...  13    ...       0.0   \n",
       "4  https://news.microsoft.com/2018/09/20/shell-ex...  13    ...       0.0   \n",
       "\n",
       "   QMark  Exclam  Dash  Quote  Apostro  Parenth  OtherP   tb_subj  tb_polar  \n",
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       "\n",
       "[5 rows x 104 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "msft_prs.head()"
   ]
  }
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