tw-token-stop-pos.ipynb

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   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\setia\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\setia\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to\n",
      "[nltk_data]     C:\\Users\\setia\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     C:\\Users\\setia\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.options.display.max_colwidth = 1000\n",
    "\n",
    "import nltk\n",
    "nltk.download('punkt')\n",
    "from nltk.tokenize import word_tokenize\n",
    "\n",
    "nltk.download('stopwords')\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "nltk.download('wordnet')\n",
    "from nltk import pos_tag\n",
    "from nltk.corpus import wordnet\n",
    "\n",
    "nltk.download('averaged_perceptron_tagger')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0a9e5dcc-0825-4743-b839-fb8935c345c4",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>i think it s two fold  although i m sure there are far righters in the mix       contrast two similar countries  five minutes apart  with completely different covid mandates  and     others are protesting against federal mandates  and want mandates governing travel to be dropped</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>i m sick of hearing this  a family member of mine suffered heart failure   days after their booster but apparently it s just one of those things because people suffer from heart failure daily  yet these same people don t apply that logic to covid  face with rolling eyes  is covid now the only death</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also you can t determine unless you looked at each case whether yes in fact covid was the factor that meant they couldn t recover from the crash also the variations in car accidents too the level of seriousness of injury would be different in each car accident case</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark s doing it all wrong  they re counting cases and deaths correctly   denmark     mm people  on    mm   virus is almost gone in on   learn to lie and covid disappears in no time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>how covid    has changed the way we work  via</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                            tweet  \n",
       "0                        i think it s two fold  although i m sure there are far righters in the mix       contrast two similar countries  five minutes apart  with completely different covid mandates  and     others are protesting against federal mandates  and want mandates governing travel to be dropped   \n",
       "1    i m sick of hearing this  a family member of mine suffered heart failure   days after their booster but apparently it s just one of those things because people suffer from heart failure daily  yet these same people don t apply that logic to covid  face with rolling eyes  is covid now the only death   \n",
       "2                                    also you can t determine unless you looked at each case whether yes in fact covid was the factor that meant they couldn t recover from the crash also the variations in car accidents too the level of seriousness of injury would be different in each car accident case     \n",
       "3                                                                                                                        denmark s doing it all wrong  they re counting cases and deaths correctly   denmark     mm people  on    mm   virus is almost gone in on   learn to lie and covid disappears in no time   \n",
       "4                                                                                                                                                                                                                                                                  how covid    has changed the way we work  via   "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv('cleaned_tweets.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "204e6d9d-400e-416a-aa04-b1e5b0e22a49",
   "metadata": {},
   "outputs": [],
   "source": [
    "# POS tagger dictionary\n",
    "pos_dict = {'J':wordnet.ADJ, 'V':wordnet.VERB, 'N':wordnet.NOUN, 'R':wordnet.ADV}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "191dad36-911f-4b46-9bdd-fa2b253f71ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "def token_stop_pos(text):\n",
    "    tags = pos_tag(word_tokenize(text))\n",
    "    newlist = []\n",
    "    for word, tag in tags:\n",
    "        if word.lower() not in set(stopwords.words('english')):\n",
    "            newlist.append(tuple([word, pos_dict.get(tag[0])]))\n",
    "    return newlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "608b8b1c-1fa0-45aa-9d36-2e22d727bed6",
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       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
       "      <th>POS tagged</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>i think it s two fold  although i m sure there are far righters in the mix       contrast two similar countries  five minutes apart  with completely different covid mandates  and     others are protesting against federal mandates  and want mandates governing travel to be dropped</td>\n",
       "      <td>[(think, v), (two, None), (fold, a), (although, None), (sure, a), (far, r), (righters, n), (mix, n), (contrast, n), (two, None), (similar, a), (countries, n), (five, None), (minutes, n), (apart, r), (completely, r), (different, a), (covid, n), (mandates, n), (others, n), (protesting, v), (federal, a), (mandates, n), (want, v), (mandates, n), (governing, v), (travel, n), (dropped, v)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>i m sick of hearing this  a family member of mine suffered heart failure   days after their booster but apparently it s just one of those things because people suffer from heart failure daily  yet these same people don t apply that logic to covid  face with rolling eyes  is covid now the only death</td>\n",
       "      <td>[(sick, n), (hearing, v), (family, n), (member, n), (mine, n), (suffered, v), (heart, n), (failure, n), (days, n), (booster, n), (apparently, r), (one, None), (things, n), (people, n), (suffer, v), (heart, n), (failure, n), (daily, a), (yet, r), (people, n), (apply, n), (logic, v), (covid, v), (face, n), (rolling, a), (eyes, n), (covid, a), (death, n)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also you can t determine unless you looked at each case whether yes in fact covid was the factor that meant they couldn t recover from the crash also the variations in car accidents too the level of seriousness of injury would be different in each car accident case</td>\n",
       "      <td>[(also, r), (determine, v), (unless, None), (looked, v), (case, n), (whether, None), (yes, n), (fact, n), (covid, n), (factor, n), (meant, v), (recover, n), (crash, n), (also, r), (variations, n), (car, n), (accidents, n), (level, n), (seriousness, n), (injury, n), (would, None), (different, a), (car, n), (accident, n), (case, n)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark s doing it all wrong  they re counting cases and deaths correctly   denmark     mm people  on    mm   virus is almost gone in on   learn to lie and covid disappears in no time</td>\n",
       "      <td>[(denmark, n), (wrong, a), (counting, v), (cases, n), (deaths, n), (correctly, r), (denmark, v), (mm, a), (people, n), (mm, n), (virus, n), (almost, r), (gone, v), (learn, n), (lie, v), (covid, v), (disappears, n), (time, n)]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>how covid    has changed the way we work  via</td>\n",
       "      <td>[(covid, n), (changed, v), (way, n), (work, v), (via, None)]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                            tweet  \\\n",
       "0                        i think it s two fold  although i m sure there are far righters in the mix       contrast two similar countries  five minutes apart  with completely different covid mandates  and     others are protesting against federal mandates  and want mandates governing travel to be dropped    \n",
       "1    i m sick of hearing this  a family member of mine suffered heart failure   days after their booster but apparently it s just one of those things because people suffer from heart failure daily  yet these same people don t apply that logic to covid  face with rolling eyes  is covid now the only death    \n",
       "2                                    also you can t determine unless you looked at each case whether yes in fact covid was the factor that meant they couldn t recover from the crash also the variations in car accidents too the level of seriousness of injury would be different in each car accident case      \n",
       "3                                                                                                                        denmark s doing it all wrong  they re counting cases and deaths correctly   denmark     mm people  on    mm   virus is almost gone in on   learn to lie and covid disappears in no time    \n",
       "4                                                                                                                                                                                                                                                                  how covid    has changed the way we work  via    \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                           POS tagged  \n",
       "0  [(think, v), (two, None), (fold, a), (although, None), (sure, a), (far, r), (righters, n), (mix, n), (contrast, n), (two, None), (similar, a), (countries, n), (five, None), (minutes, n), (apart, r), (completely, r), (different, a), (covid, n), (mandates, n), (others, n), (protesting, v), (federal, a), (mandates, n), (want, v), (mandates, n), (governing, v), (travel, n), (dropped, v)]  \n",
       "1                                  [(sick, n), (hearing, v), (family, n), (member, n), (mine, n), (suffered, v), (heart, n), (failure, n), (days, n), (booster, n), (apparently, r), (one, None), (things, n), (people, n), (suffer, v), (heart, n), (failure, n), (daily, a), (yet, r), (people, n), (apply, n), (logic, v), (covid, v), (face, n), (rolling, a), (eyes, n), (covid, a), (death, n)]  \n",
       "2                                                        [(also, r), (determine, v), (unless, None), (looked, v), (case, n), (whether, None), (yes, n), (fact, n), (covid, n), (factor, n), (meant, v), (recover, n), (crash, n), (also, r), (variations, n), (car, n), (accidents, n), (level, n), (seriousness, n), (injury, n), (would, None), (different, a), (car, n), (accident, n), (case, n)]  \n",
       "3                                                                                                                                                                   [(denmark, n), (wrong, a), (counting, v), (cases, n), (deaths, n), (correctly, r), (denmark, v), (mm, a), (people, n), (mm, n), (virus, n), (almost, r), (gone, v), (learn, n), (lie, v), (covid, v), (disappears, n), (time, n)]  \n",
       "4                                                                                                                                                                                                                                                                                                                                        [(covid, n), (changed, v), (way, n), (work, v), (via, None)]  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['POS tagged'] = df['tweet'].apply(token_stop_pos)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "beedd0a5-29dd-4e37-9c91-6baebb407c24",
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       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>username</th>\n",
       "      <th>tweet</th>\n",
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       "      <th>Lemma</th>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>i think it s two fold  although i m sure there are far righters in the mix       contrast two similar countries  five minutes apart  with completely different covid mandates  and     others are protesting against federal mandates  and want mandates governing travel to be dropped</td>\n",
       "      <td>[(think, v), (two, None), (fold, a), (although, None), (sure, a), (far, r), (righters, n), (mix, n), (contrast, n), (two, None), (similar, a), (countries, n), (five, None), (minutes, n), (apart, r), (completely, r), (different, a), (covid, n), (mandates, n), (others, n), (protesting, v), (federal, a), (mandates, n), (want, v), (mandates, n), (governing, v), (travel, n), (dropped, v)]</td>\n",
       "      <td>think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>i m sick of hearing this  a family member of mine suffered heart failure   days after their booster but apparently it s just one of those things because people suffer from heart failure daily  yet these same people don t apply that logic to covid  face with rolling eyes  is covid now the only death</td>\n",
       "      <td>[(sick, n), (hearing, v), (family, n), (member, n), (mine, n), (suffered, v), (heart, n), (failure, n), (days, n), (booster, n), (apparently, r), (one, None), (things, n), (people, n), (suffer, v), (heart, n), (failure, n), (daily, a), (yet, r), (people, n), (apply, n), (logic, v), (covid, v), (face, n), (rolling, a), (eyes, n), (covid, a), (death, n)]</td>\n",
       "      <td>sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also you can t determine unless you looked at each case whether yes in fact covid was the factor that meant they couldn t recover from the crash also the variations in car accidents too the level of seriousness of injury would be different in each car accident case</td>\n",
       "      <td>[(also, r), (determine, v), (unless, None), (looked, v), (case, n), (whether, None), (yes, n), (fact, n), (covid, n), (factor, n), (meant, v), (recover, n), (crash, n), (also, r), (variations, n), (car, n), (accidents, n), (level, n), (seriousness, n), (injury, n), (would, None), (different, a), (car, n), (accident, n), (case, n)]</td>\n",
       "      <td>also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark s doing it all wrong  they re counting cases and deaths correctly   denmark     mm people  on    mm   virus is almost gone in on   learn to lie and covid disappears in no time</td>\n",
       "      <td>[(denmark, n), (wrong, a), (counting, v), (cases, n), (deaths, n), (correctly, r), (denmark, v), (mm, a), (people, n), (mm, n), (virus, n), (almost, r), (gone, v), (learn, n), (lie, v), (covid, v), (disappears, n), (time, n)]</td>\n",
       "      <td>denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>how covid    has changed the way we work  via</td>\n",
       "      <td>[(covid, n), (changed, v), (way, n), (work, v), (via, None)]</td>\n",
       "      <td>covid change way work via</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                            tweet  \\\n",
       "0                        i think it s two fold  although i m sure there are far righters in the mix       contrast two similar countries  five minutes apart  with completely different covid mandates  and     others are protesting against federal mandates  and want mandates governing travel to be dropped    \n",
       "1    i m sick of hearing this  a family member of mine suffered heart failure   days after their booster but apparently it s just one of those things because people suffer from heart failure daily  yet these same people don t apply that logic to covid  face with rolling eyes  is covid now the only death    \n",
       "2                                    also you can t determine unless you looked at each case whether yes in fact covid was the factor that meant they couldn t recover from the crash also the variations in car accidents too the level of seriousness of injury would be different in each car accident case      \n",
       "3                                                                                                                        denmark s doing it all wrong  they re counting cases and deaths correctly   denmark     mm people  on    mm   virus is almost gone in on   learn to lie and covid disappears in no time    \n",
       "4                                                                                                                                                                                                                                                                  how covid    has changed the way we work  via    \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                           POS tagged  \\\n",
       "0  [(think, v), (two, None), (fold, a), (although, None), (sure, a), (far, r), (righters, n), (mix, n), (contrast, n), (two, None), (similar, a), (countries, n), (five, None), (minutes, n), (apart, r), (completely, r), (different, a), (covid, n), (mandates, n), (others, n), (protesting, v), (federal, a), (mandates, n), (want, v), (mandates, n), (governing, v), (travel, n), (dropped, v)]   \n",
       "1                                  [(sick, n), (hearing, v), (family, n), (member, n), (mine, n), (suffered, v), (heart, n), (failure, n), (days, n), (booster, n), (apparently, r), (one, None), (things, n), (people, n), (suffer, v), (heart, n), (failure, n), (daily, a), (yet, r), (people, n), (apply, n), (logic, v), (covid, v), (face, n), (rolling, a), (eyes, n), (covid, a), (death, n)]   \n",
       "2                                                        [(also, r), (determine, v), (unless, None), (looked, v), (case, n), (whether, None), (yes, n), (fact, n), (covid, n), (factor, n), (meant, v), (recover, n), (crash, n), (also, r), (variations, n), (car, n), (accidents, n), (level, n), (seriousness, n), (injury, n), (would, None), (different, a), (car, n), (accident, n), (case, n)]   \n",
       "3                                                                                                                                                                   [(denmark, n), (wrong, a), (counting, v), (cases, n), (deaths, n), (correctly, r), (denmark, v), (mm, a), (people, n), (mm, n), (virus, n), (almost, r), (gone, v), (learn, n), (lie, v), (covid, v), (disappears, n), (time, n)]   \n",
       "4                                                                                                                                                                                                                                                                                                                                        [(covid, n), (changed, v), (way, n), (work, v), (via, None)]   \n",
       "\n",
       "                                                                                                                                                                                              Lemma  \n",
       "0    think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop  \n",
       "1                    sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death  \n",
       "2                           also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case  \n",
       "3                                                                                     denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time  \n",
       "4                                                                                                                                                                         covid change way work via  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from nltk.stem import WordNetLemmatizer\n",
    "wordnet_lemmatizer = WordNetLemmatizer()\n",
    "\n",
    "def lemmatize(pos_data):\n",
    "    lemma_r = \" \"\n",
    "    for word, pos in pos_data:\n",
    "        if not pos:\n",
    "            lemma = word\n",
    "            lemma_r = lemma_r + \" \" + lemma\n",
    "        else:\n",
    "            lemma = wordnet_lemmatizer.lemmatize(word, pos=pos)\n",
    "            lemma_r = lemma_r + \" \" + lemma\n",
    "    return lemma_r\n",
    "\n",
    "df['Lemma'] = df['POS tagged'].apply(lemmatize)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7c7143f-b125-4bde-b789-30e929511efd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from textblob import TextBlob\n",
    "\n",
    "def getSubjectivity(review):\n",
    "    return TextBlob(review).sentiment.subjectivity\n",
    "\n",
    "def getPolarity(review):\n",
    "    return TextBlob(review).sentiment.polarity\n",
    "\n",
    "def analyze(score):\n",
    "    if score < 0:\n",
    "        return 'Negative'\n",
    "    elif score == 0:\n",
    "        return 'Neutral'\n",
    "    else:\n",
    "        return 'Positive'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d4e378ed-67ba-4737-bab0-7dfa17ddb6e8",
   "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>date</th>\n",
       "      <th>username</th>\n",
       "      <th>Lemma</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>covid change way work via</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                              Lemma  \n",
       "0    think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop  \n",
       "1                    sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death  \n",
       "2                           also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case  \n",
       "3                                                                                     denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time  \n",
       "4                                                                                                                                                                         covid change way work via  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data = pd.DataFrame(df[['date', 'username', 'Lemma']])\n",
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "60ad1ef1-e455-492b-abb5-6cf55b466a16",
   "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>date</th>\n",
       "      <th>username</th>\n",
       "      <th>Lemma</th>\n",
       "      <th>Subjectivity</th>\n",
       "      <th>Polarity</th>\n",
       "      <th>TextBlob</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop</td>\n",
       "      <td>0.722222</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death</td>\n",
       "      <td>0.361429</td>\n",
       "      <td>-0.259524</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case</td>\n",
       "      <td>0.643750</td>\n",
       "      <td>-0.156250</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>-0.500000</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>covid change way work via</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                              Lemma  \\\n",
       "0    think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop   \n",
       "1                    sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death   \n",
       "2                           also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case   \n",
       "3                                                                                     denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time   \n",
       "4                                                                                                                                                                         covid change way work via   \n",
       "\n",
       "   Subjectivity  Polarity  TextBlob  \n",
       "0      0.722222  0.150000  Positive  \n",
       "1      0.361429 -0.259524  Negative  \n",
       "2      0.643750 -0.156250  Negative  \n",
       "3      0.900000 -0.500000  Negative  \n",
       "4      0.000000  0.000000   Neutral  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data['Subjectivity'] = final_data['Lemma'].apply(getSubjectivity)\n",
    "final_data['Polarity'] = final_data['Lemma'].apply(getPolarity)\n",
    "final_data['TextBlob'] = final_data['Polarity'].apply(analyze)\n",
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8330f58f-269e-47a0-bd18-5c065a5cb09f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Positive    80\n",
       "Neutral     75\n",
       "Negative    45\n",
       "Name: TextBlob, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tb_counts = final_data.TextBlob.value_counts()\n",
    "tb_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d0026f4b-da0d-4fe2-8a56-e7c33eec4377",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x18f5b5a0b50>,\n",
       "  <matplotlib.patches.Wedge at 0x18f5b5b92b0>,\n",
       "  <matplotlib.patches.Wedge at 0x18f5b5b99d0>],\n",
       " [Text(0.33991867422268784, 1.0461621742897658, 'Positive'),\n",
       "  Text(-0.9379041592647686, -0.5747484563127141, 'Neutral'),\n",
       "  Text(1.0265480699775846, -0.8767548460232749, 'Negative')],\n",
       " [Text(0.1854101859396479, 0.5706339132489631, '40.0%'),\n",
       "  Text(-0.5115840868716919, -0.3134991579887531, '37.5%'),\n",
       "  Text(0.6463450810969976, -0.5520308289776175, '22.5%')])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "plt.figure(figsize=(10, 7))\n",
    "plt.pie(tb_counts.values, labels=tb_counts.index, explode=(0,0,0.25), autopct='%1.1f%%', shadow=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "c538c313-d56e-4702-942b-cc8694826c8d",
   "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>date</th>\n",
       "      <th>username</th>\n",
       "      <th>Lemma</th>\n",
       "      <th>Subjectivity</th>\n",
       "      <th>Polarity</th>\n",
       "      <th>TextBlob</th>\n",
       "      <th>Vader Sentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop</td>\n",
       "      <td>0.722222</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>Positive</td>\n",
       "      <td>-0.1280</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death</td>\n",
       "      <td>0.361429</td>\n",
       "      <td>-0.259524</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.9081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case</td>\n",
       "      <td>0.643750</td>\n",
       "      <td>-0.156250</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.8481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>-0.500000</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.8555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>covid change way work via</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>0.0000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                              Lemma  \\\n",
       "0    think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop   \n",
       "1                    sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death   \n",
       "2                           also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case   \n",
       "3                                                                                     denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time   \n",
       "4                                                                                                                                                                         covid change way work via   \n",
       "\n",
       "   Subjectivity  Polarity  TextBlob  Vader Sentiment  \n",
       "0      0.722222  0.150000  Positive          -0.1280  \n",
       "1      0.361429 -0.259524  Negative          -0.9081  \n",
       "2      0.643750 -0.156250  Negative          -0.8481  \n",
       "3      0.900000 -0.500000  Negative          -0.8555  \n",
       "4      0.000000  0.000000   Neutral           0.0000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
    "analyzer = SentimentIntensityAnalyzer()\n",
    "\n",
    "def vaderSentimentAnalysis(review):\n",
    "    vs = analyzer.polarity_scores(review)\n",
    "    return vs['compound']\n",
    "\n",
    "final_data['Vader Sentiment'] = final_data['Lemma'].apply(vaderSentimentAnalysis)\n",
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9d810022-21b2-43e7-96f4-74fc1575e207",
   "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>date</th>\n",
       "      <th>username</th>\n",
       "      <th>Lemma</th>\n",
       "      <th>Subjectivity</th>\n",
       "      <th>Polarity</th>\n",
       "      <th>TextBlob</th>\n",
       "      <th>Vader Sentiment</th>\n",
       "      <th>vaderSentiment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop</td>\n",
       "      <td>0.722222</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>Positive</td>\n",
       "      <td>-0.1280</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death</td>\n",
       "      <td>0.361429</td>\n",
       "      <td>-0.259524</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.9081</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case</td>\n",
       "      <td>0.643750</td>\n",
       "      <td>-0.156250</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.8481</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>-0.500000</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.8555</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>covid change way work via</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                              Lemma  \\\n",
       "0    think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop   \n",
       "1                    sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death   \n",
       "2                           also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case   \n",
       "3                                                                                     denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time   \n",
       "4                                                                                                                                                                         covid change way work via   \n",
       "\n",
       "   Subjectivity  Polarity  TextBlob  Vader Sentiment vaderSentiment  \n",
       "0      0.722222  0.150000  Positive          -0.1280        Neutral  \n",
       "1      0.361429 -0.259524  Negative          -0.9081       Negative  \n",
       "2      0.643750 -0.156250  Negative          -0.8481       Negative  \n",
       "3      0.900000 -0.500000  Negative          -0.8555       Negative  \n",
       "4      0.000000  0.000000   Neutral           0.0000        Neutral  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "def vader_analysis(compound):\n",
    "    if compound >= 0.5:\n",
    "        return 'Positive'\n",
    "    elif compound <= -0.5:\n",
    "        return 'Negative'\n",
    "    else:\n",
    "        return 'Neutral'\n",
    "\n",
    "final_data['vaderSentiment'] = final_data['Vader Sentiment'].apply(vader_analysis)\n",
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f773487c-7a70-4d0d-bf5c-ca35348f5036",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Neutral     129\n",
       "Negative     43\n",
       "Positive     28\n",
       "Name: vaderSentiment, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vader_counts = final_data['vaderSentiment'].value_counts()\n",
    "vader_counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b78f40a8-76d7-4ce3-b0e2-166999cebef7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x18f5fe296d0>,\n",
       "  <matplotlib.patches.Wedge at 0x18f60d2f910>,\n",
       "  <matplotlib.patches.Wedge at 0x18f60d2feb0>],\n",
       " [Text(-0.48393302764960144, 0.9878303623344902, 'Neutral'),\n",
       "  Text(0.01727792958999895, -1.099864297606338, 'Negative'),\n",
       "  Text(1.2215164659359323, -0.574802160266809, 'Positive')],\n",
       " [Text(-0.2639634696270553, 0.5388165612733582, '64.5%'),\n",
       "  Text(0.009424325230908517, -0.5999259805125479, '21.5%'),\n",
       "  Text(0.7691029600337351, -0.36191247127910187, '14.0%')])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 7))\n",
    "plt.pie(vader_counts.values, labels=vader_counts.index, explode=(0,0,0.25), autopct='%1.1f%%', shadow=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "7a260b4c-0902-4107-8ac3-3eece81d5aa4",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package sentiwordnet to\n",
      "[nltk_data]     C:\\Users\\setia\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Unzipping corpora\\sentiwordnet.zip.\n"
     ]
    }
   ],
   "source": [
    "nltk.download('sentiwordnet')\n",
    "from nltk.corpus import sentiwordnet as swn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "27fe1a66-130e-4796-a126-2ceef7096de1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def sentiwordnetAnalysis(pos_data):\n",
    "    sentiment = 0\n",
    "    tokens_count = 0\n",
    "    for word, pos in pos_data:\n",
    "        if not pos:\n",
    "            continue\n",
    "        lemma = wordnet_lemmatizer.lemmatize(word, pos=pos)\n",
    "        if not lemma:\n",
    "            continue\n",
    "        \n",
    "        synsets = wordnet.synsets(lemma, pos=pos)\n",
    "        if not synsets:\n",
    "            continue\n",
    "        \n",
    "        synset = synsets[0]\n",
    "        swn_synset = swn.senti_synset(synset.name())\n",
    "        sentiment += swn_synset.pos_score() - swn_synset.neg_score()\n",
    "        tokens_count += 1\n",
    "    \n",
    "    if not tokens_count:\n",
    "        return 0\n",
    "    \n",
    "    if sentiment > 0:\n",
    "        return 'Positive'\n",
    "    if sentiment == 0:\n",
    "        return 'Neutral'\n",
    "    else:\n",
    "        return 'Negative'\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "5c654329-3ef4-46d6-bd70-ead687fc1182",
   "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>date</th>\n",
       "      <th>username</th>\n",
       "      <th>Lemma</th>\n",
       "      <th>Subjectivity</th>\n",
       "      <th>Polarity</th>\n",
       "      <th>TextBlob</th>\n",
       "      <th>Vader Sentiment</th>\n",
       "      <th>vaderSentiment</th>\n",
       "      <th>SWN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop</td>\n",
       "      <td>0.722222</td>\n",
       "      <td>0.150000</td>\n",
       "      <td>Positive</td>\n",
       "      <td>-0.1280</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death</td>\n",
       "      <td>0.361429</td>\n",
       "      <td>-0.259524</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.9081</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case</td>\n",
       "      <td>0.643750</td>\n",
       "      <td>-0.156250</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.8481</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>-0.500000</td>\n",
       "      <td>Negative</td>\n",
       "      <td>-0.8555</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>covid change way work via</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  date         username  \\\n",
       "0  2022-02-13 00:38:03          mazzya6   \n",
       "1  2022-02-13 00:38:02   Leanne00888573   \n",
       "2  2022-02-13 00:38:02    Georgie_D_101   \n",
       "3  2022-02-13 00:38:02  originalscout11   \n",
       "4  2022-02-13 00:38:02  leadershipindex   \n",
       "\n",
       "                                                                                                                                                                                              Lemma  \\\n",
       "0    think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop   \n",
       "1                    sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death   \n",
       "2                           also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case   \n",
       "3                                                                                     denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time   \n",
       "4                                                                                                                                                                         covid change way work via   \n",
       "\n",
       "   Subjectivity  Polarity  TextBlob  Vader Sentiment vaderSentiment       SWN  \n",
       "0      0.722222  0.150000  Positive          -0.1280        Neutral  Positive  \n",
       "1      0.361429 -0.259524  Negative          -0.9081       Negative  Positive  \n",
       "2      0.643750 -0.156250  Negative          -0.8481       Negative  Negative  \n",
       "3      0.900000 -0.500000  Negative          -0.8555       Negative  Negative  \n",
       "4      0.000000  0.000000   Neutral           0.0000        Neutral   Neutral  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_data['SWN'] = df['POS tagged'].apply(sentiwordnetAnalysis)\n",
    "final_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "40385ef6-49ab-44cb-825d-c35a37a05485",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>date</th>\n",
       "      <th>username</th>\n",
       "      <th>Lemma</th>\n",
       "      <th>TextBlob</th>\n",
       "      <th>vaderSentiment</th>\n",
       "      <th>SWN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2022-02-13 00:38:03</td>\n",
       "      <td>mazzya6</td>\n",
       "      <td>think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop</td>\n",
       "      <td>Positive</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Leanne00888573</td>\n",
       "      <td>sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>Georgie_D_101</td>\n",
       "      <td>also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>originalscout11</td>\n",
       "      <td>denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2022-02-13 00:38:02</td>\n",
       "      <td>leadershipindex</td>\n",
       "      <td>covid change way work via</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Neutral</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>195</th>\n",
       "      <td>2022-02-13 00:37:07</td>\n",
       "      <td>means_over</td>\n",
       "      <td>anything healthcare system good fact people fat unhealthy diabetic even mask people think fat okay get pull hospital obesity bad thing covid</td>\n",
       "      <td>Positive</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Negative</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>2022-02-13 00:37:07</td>\n",
       "      <td>samanth77470710</td>\n",
       "      <td>covid january book angiogram</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>2022-02-13 00:37:06</td>\n",
       "      <td>vickersty</td>\n",
       "      <td>yes vitamin vitamin essential health controversial prevent covid per se enough bad also safe preventative health measure general everyone take consideration</td>\n",
       "      <td>Positive</td>\n",
       "      <td>Positive</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>2022-02-13 00:37:06</td>\n",
       "      <td>Libero_official</td>\n",
       "      <td>bollettino covid febbraio nuovi contagi e decessi sia ricoveri ordinari che quelli terapia intensiva sono calo per il quinto giorno consecutivo</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Positive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>2022-02-13 00:37:06</td>\n",
       "      <td>jennyyyyc</td>\n",
       "      <td>think covid year ago roll floor laugh really hella sick like january year</td>\n",
       "      <td>Negative</td>\n",
       "      <td>Neutral</td>\n",
       "      <td>Neutral</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                    date         username  \\\n",
       "0    2022-02-13 00:38:03          mazzya6   \n",
       "1    2022-02-13 00:38:02   Leanne00888573   \n",
       "2    2022-02-13 00:38:02    Georgie_D_101   \n",
       "3    2022-02-13 00:38:02  originalscout11   \n",
       "4    2022-02-13 00:38:02  leadershipindex   \n",
       "..                   ...              ...   \n",
       "195  2022-02-13 00:37:07       means_over   \n",
       "196  2022-02-13 00:37:07  samanth77470710   \n",
       "197  2022-02-13 00:37:06        vickersty   \n",
       "198  2022-02-13 00:37:06  Libero_official   \n",
       "199  2022-02-13 00:37:06        jennyyyyc   \n",
       "\n",
       "                                                                                                                                                                                                Lemma  \\\n",
       "0      think two fold although sure far righters mix contrast two similar country five minute apart completely different covid mandate others protest federal mandate want mandate govern travel drop   \n",
       "1                      sick hear family member mine suffer heart failure day booster apparently one thing people suffer heart failure daily yet people apply logic covid face rolling eye covid death   \n",
       "2                             also determine unless look case whether yes fact covid factor mean recover crash also variation car accident level seriousness injury would different car accident case   \n",
       "3                                                                                       denmark wrong count case death correctly denmark mm people mm virus almost go learn lie covid disappears time   \n",
       "4                                                                                                                                                                           covid change way work via   \n",
       "..                                                                                                                                                                                                ...   \n",
       "195                                                      anything healthcare system good fact people fat unhealthy diabetic even mask people think fat okay get pull hospital obesity bad thing covid   \n",
       "196                                                                                                                                                                      covid january book angiogram   \n",
       "197                                      yes vitamin vitamin essential health controversial prevent covid per se enough bad also safe preventative health measure general everyone take consideration   \n",
       "198                                                   bollettino covid febbraio nuovi contagi e decessi sia ricoveri ordinari che quelli terapia intensiva sono calo per il quinto giorno consecutivo   \n",
       "199                                                                                                                         think covid year ago roll floor laugh really hella sick like january year   \n",
       "\n",
       "     TextBlob vaderSentiment       SWN  \n",
       "0    Positive        Neutral  Positive  \n",
       "1    Negative       Negative  Positive  \n",
       "2    Negative       Negative  Negative  \n",
       "3    Negative       Negative  Negative  \n",
       "4     Neutral        Neutral   Neutral  \n",
       "..        ...            ...       ...  \n",
       "195  Positive        Neutral  Negative  \n",
       "196   Neutral        Neutral  Positive  \n",
       "197  Positive       Positive  Positive  \n",
       "198   Neutral        Neutral  Positive  \n",
       "199  Negative        Neutral   Neutral  \n",
       "\n",
       "[200 rows x 6 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hasil = final_data[['date', 'username', 'Lemma', 'TextBlob', 'vaderSentiment', 'SWN']]\n",
    "hasil"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "4bef29e5-1013-4e4e-ad87-0ee9081ca096",
   "metadata": {},
   "outputs": [],
   "source": [
    "hasil.to_csv('hasil_sentiment.csv', index=False)"
   ]
  }
 ],
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