slang/slang.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting pytrends\n",
      "  Using cached pytrends-4.7.3-py3-none-any.whl (14 kB)\n",
      "Requirement already satisfied: pandas>=0.25 in /opt/conda/lib/python3.8/site-packages (from pytrends) (1.1.0)\n",
      "Requirement already satisfied: requests in /opt/conda/lib/python3.8/site-packages (from pytrends) (2.24.0)\n",
      "Requirement already satisfied: lxml in /opt/conda/lib/python3.8/site-packages (from pytrends) (4.5.2)\n",
      "Requirement already satisfied: pytz>=2017.2 in /opt/conda/lib/python3.8/site-packages (from pandas>=0.25->pytrends) (2020.4)\n",
      "Requirement already satisfied: numpy>=1.15.4 in /opt/conda/lib/python3.8/site-packages (from pandas>=0.25->pytrends) (1.18.5)\n",
      "Requirement already satisfied: python-dateutil>=2.7.3 in /opt/conda/lib/python3.8/site-packages (from pandas>=0.25->pytrends) (2.8.1)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.8/site-packages (from requests->pytrends) (2019.11.28)\n",
      "Requirement already satisfied: chardet<4,>=3.0.2 in /opt/conda/lib/python3.8/site-packages (from requests->pytrends) (3.0.4)\n",
      "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /opt/conda/lib/python3.8/site-packages (from requests->pytrends) (1.25.7)\n",
      "Requirement already satisfied: idna<3,>=2.5 in /opt/conda/lib/python3.8/site-packages (from requests->pytrends) (2.8)\n",
      "Requirement already satisfied: six>=1.5 in /opt/conda/lib/python3.8/site-packages (from python-dateutil>=2.7.3->pandas>=0.25->pytrends) (1.15.0)\n",
      "Installing collected packages: pytrends\n",
      "Successfully installed pytrends-4.7.3\n"
     ]
    }
   ],
   "source": [
    "!pip install pytrends"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd                        \n",
    "from pytrends.request import TrendReq\n",
    "pytrend = TrendReq()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2019-12-30 2020-12-29'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import datetime\n",
    "from datetime import datetime, date, time, timedelta\n",
    "\n",
    "today=(datetime.now()).date()\n",
    "year_ago=(datetime.now()-timedelta(days=365)).date()\n",
    "dates=str(year_ago) + \" \" + str(today) \n",
    "dates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pytrend.build_payload(kw_list=['define', 'definition', 'dictionary', 'urban dictionary'], timeframe=dates)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'define': {'top':                     query  value\n",
       "  0          define synonym    100\n",
       "  1          define meaning     83\n",
       "  2              definition     63\n",
       "  3                synonyms     27\n",
       "  4   what does define mean     11\n",
       "  5              dictionary      8\n",
       "  6           define health      7\n",
       "  7       define management      6\n",
       "  8      define coronavirus      6\n",
       "  9             define love      6\n",
       "  10        define computer      5\n",
       "  11           define force      5\n",
       "  12        pandemic define      5\n",
       "  13               pandemic      5\n",
       "  14              thesaurus      5\n",
       "  15     define environment      4\n",
       "  16         define concept      4\n",
       "  17       define community      3\n",
       "  18          define values      3\n",
       "  19            define verb      2\n",
       "  20       define objective      2\n",
       "  21       define essential      2\n",
       "  22        define furlough      2\n",
       "  23            define simp      2\n",
       "  24          define racism      1,\n",
       "  'rising':                              query  value\n",
       "  0               define coronavirus  29400\n",
       "  1                         pandemic   3450\n",
       "  2                  pandemic define   3350\n",
       "  3                  define furlough    850\n",
       "  4                      define simp    850\n",
       "  5                define quarantine    850\n",
       "  6              define asymptomatic    300\n",
       "  7                important synonym    180\n",
       "  8                  however synonym    160\n",
       "  9                       define wap    160\n",
       "  10                  define synonym    150\n",
       "  11                        synonyms    120\n",
       "  12  the song that define your life    120\n",
       "  13                  define meaning    100\n",
       "  14             define asynchronous     90\n",
       "  15                  define endorse     80\n",
       "  16                   define racism     70\n",
       "  17                define endurance     70\n",
       "  18                 define parasite     70\n",
       "  19                    define evoke     70\n",
       "  20             define apprehension     70\n",
       "  21                   define prefer     70\n",
       "  22                  define deviant     60\n",
       "  23                       thesaurus     60\n",
       "  24                  define condemn     60},\n",
       " 'definition': {'top':                         query  value\n",
       "  0               definition of    100\n",
       "  1   what is the definition of     14\n",
       "  2                  dictionary      4\n",
       "  3      coronavirus definition      3\n",
       "  4       psychology definition      2\n",
       "  5           energy definition      2\n",
       "  6           theory definition      2\n",
       "  7                    synonyms      2\n",
       "  8             love definition      2\n",
       "  9        chemistry definition      2\n",
       "  10            mass definition      1\n",
       "  11        pandemic definition      1\n",
       "  12         culture definition      1\n",
       "  13                   pandemic      1\n",
       "  14        variable definition      1\n",
       "  15          racism definition      1\n",
       "  16            noun definition      1\n",
       "  17            meme definition      1\n",
       "  18      technology definition      1\n",
       "  19      revolution definition      1\n",
       "  20       democracy definition      1\n",
       "  21            simp definition      1\n",
       "  22        furlough definition      1\n",
       "  23         fascism definition      1\n",
       "  24        epidemic definition      0,\n",
       "  'rising':                                     query  value\n",
       "  0                  coronavirus definition  34900\n",
       "  1                         simp definition   1700\n",
       "  2                      definition of simp   1600\n",
       "  3                     furlough definition   1150\n",
       "  4                     pandemic definition   1150\n",
       "  5                                pandemic   1050\n",
       "  6                       defund definition    800\n",
       "  7              social distance definition    600\n",
       "  8                  martial law definition    300\n",
       "  9   cuckold definition webster dictionary    200\n",
       "  10                    epidemic definition    160\n",
       "  11                    fracking definition    140\n",
       "  12                      racism definition    120\n",
       "  13                 gaslighting definition    110\n",
       "  14                   redlining definition    100\n",
       "  15                misogynistic definition     70\n",
       "  16                     endemic definition     70\n",
       "  17                        woke definition     70\n",
       "  18                   incumbent definition     60\n",
       "  19                      caucus definition     60\n",
       "  20                        weeb definition     60\n",
       "  21                        amid definition     50\n",
       "  22                   dystopian definition     40},\n",
       " 'dictionary': {'top':                             query  value\n",
       "  0                urban dictionary    100\n",
       "  1                           urban     97\n",
       "  2              dictionary english     37\n",
       "  3      english english dictionary     37\n",
       "  4              dictionary meaning     26\n",
       "  5                         meaning     25\n",
       "  6   english to english dictionary     20\n",
       "  7            cambridge dictionary     12\n",
       "  8                       cambridge     11\n",
       "  9           dictionary definition     10\n",
       "  10                         oxford     10\n",
       "  11              dictionary oxford     10\n",
       "  12                     definition     10\n",
       "  13              dictionary google      8\n",
       "  14                word dictionary      8\n",
       "  15              python dictionary      7\n",
       "  16              dictionary online      7\n",
       "  17             spanish dictionary      6\n",
       "  18          dictionary in english      6\n",
       "  19               hindi dictionary      6\n",
       "  20            scrabble dictionary      5\n",
       "  21               dictionary words      5\n",
       "  22                       scrabble      5\n",
       "  23             tagalog dictionary      4\n",
       "  24       hindi english dictionary      4,\n",
       "  'rising':                                     query  value\n",
       "  0                  gulag urban dictionary   1700\n",
       "  1                                    simp   1250\n",
       "  2                   urban dictionary simp   1150\n",
       "  3                poggers urban dictionary    650\n",
       "  4                simping urban dictionary    400\n",
       "  5                  karen urban dictionary    350\n",
       "  6                    peg urban dictionary    300\n",
       "  7                  chile urban dictionary    300\n",
       "  8   cuckold definition webster dictionary    250\n",
       "  9                  based urban dictionary    250\n",
       "  10                       karen dictionary    170\n",
       "  11                   pog urban dictionary    150\n",
       "  12           dictionary somali to english    100\n",
       "  13             hasbro scrabble dictionary    100\n",
       "  14                       u dictionary app     90\n",
       "  15                       laban dictionary     80\n",
       "  16               scrabble word dictionary     80\n",
       "  17                             dutch oven     70\n",
       "  18                       u dictionary apk     70\n",
       "  19              scrabble dictionary cheat     60\n",
       "  20                    scrabble dictionary     60\n",
       "  21                               scrabble     60},\n",
       " 'urban dictionary': {'top':                      query  value\n",
       "  0            urban meaning    100\n",
       "  1               definition     29\n",
       "  2    simp urban dictionary     19\n",
       "  3                     simp     18\n",
       "  4    urban dictionary name     16\n",
       "  5    word urban dictionary      7\n",
       "  6   urban dictionary names      6\n",
       "  7   urban dictionary words      6\n",
       "  8         urban outfitters      5\n",
       "  9                    karen      5\n",
       "  10  urban dictionary karen      5\n",
       "  11    urban dictionary cap      4\n",
       "  12    urban dictionary wap      4\n",
       "  13                     wap      4\n",
       "  14    wap urban dictionary      4\n",
       "  15    top urban dictionary      3\n",
       "  16   head urban dictionary      2\n",
       "  17  based urban dictionary      2\n",
       "  18               urban air      2\n",
       "  19   chad urban dictionary      2\n",
       "  20   urban dictionary stan      2\n",
       "  21   cake urban dictionary      2\n",
       "  22    map urban dictionary      2\n",
       "  23                    chad      2\n",
       "  24    ice urban dictionary      2,\n",
       "  'rising':                                    query  value\n",
       "  0                 gulag urban dictionary   8200\n",
       "  1                                  gulag   7650\n",
       "  2   what does simp mean urban dictionary   4900\n",
       "  3                   urban dictionary wap   4050\n",
       "  4                                    wap   3300\n",
       "  5                           entanglement   2750\n",
       "  6                         what is a simp   2600\n",
       "  7                           simp meaning   2550\n",
       "  8                   wap urban dictionary   2300\n",
       "  9                glizzy urban dictionary   2150\n",
       "  10              poggers urban dictionary   1800\n",
       "  11    mexican halloween urban dictionary   1600\n",
       "  12          frazzledrip urban dictionary   1550\n",
       "  13         simp meaning urban dictionary   1550\n",
       "  14                 simp urban dictionary   1400\n",
       "  15                                  simp   1350\n",
       "  16                bipoc urban dictionary   1300\n",
       "  17                              wasp mom   1150\n",
       "  18              simping urban dictionary    850\n",
       "  19           demon time urban dictionary    800\n",
       "  20     watermelon sugar urban dictionary    800\n",
       "  21                 1312 urban dictionary    800\n",
       "  22      simp definition urban dictionary    700\n",
       "  23     cherry chapstick urban dictionary    650\n",
       "  24                  wfh urban dictionary    600}}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_queries = pytrend.related_queries()\n",
    "related_queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>query</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>define coronavirus</td>\n",
       "      <td>29400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandemic</td>\n",
       "      <td>3450</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandemic define</td>\n",
       "      <td>3350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>define furlough</td>\n",
       "      <td>850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>define simp</td>\n",
       "      <td>850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>define quarantine</td>\n",
       "      <td>850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>define asymptomatic</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>important synonym</td>\n",
       "      <td>180</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>however synonym</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>define wap</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>define synonym</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>synonyms</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>the song that define your life</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>define meaning</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>define asynchronous</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>define endorse</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>define racism</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>define endurance</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>define parasite</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>define evoke</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>define apprehension</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>define prefer</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>define deviant</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>thesaurus</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>define condemn</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             query  value\n",
       "0               define coronavirus  29400\n",
       "1                         pandemic   3450\n",
       "2                  pandemic define   3350\n",
       "3                  define furlough    850\n",
       "4                      define simp    850\n",
       "5                define quarantine    850\n",
       "6              define asymptomatic    300\n",
       "7                important synonym    180\n",
       "8                  however synonym    160\n",
       "9                       define wap    160\n",
       "10                  define synonym    150\n",
       "11                        synonyms    120\n",
       "12  the song that define your life    120\n",
       "13                  define meaning    100\n",
       "14             define asynchronous     90\n",
       "15                  define endorse     80\n",
       "16                   define racism     70\n",
       "17                define endurance     70\n",
       "18                 define parasite     70\n",
       "19                    define evoke     70\n",
       "20             define apprehension     70\n",
       "21                   define prefer     70\n",
       "22                  define deviant     60\n",
       "23                       thesaurus     60\n",
       "24                  define condemn     60"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_queries['define']['rising']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>query</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>coronavirus definition</td>\n",
       "      <td>34900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>simp definition</td>\n",
       "      <td>1700</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>definition of simp</td>\n",
       "      <td>1600</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>furlough definition</td>\n",
       "      <td>1150</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pandemic definition</td>\n",
       "      <td>1150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>pandemic</td>\n",
       "      <td>1050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>defund definition</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>social distance definition</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>martial law definition</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>cuckold definition webster dictionary</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>epidemic definition</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>fracking definition</td>\n",
       "      <td>140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>racism definition</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>gaslighting definition</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>redlining definition</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>misogynistic definition</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>endemic definition</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>woke definition</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>incumbent definition</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>caucus definition</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>weeb definition</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>amid definition</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>dystopian definition</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    query  value\n",
       "0                  coronavirus definition  34900\n",
       "1                         simp definition   1700\n",
       "2                      definition of simp   1600\n",
       "3                     furlough definition   1150\n",
       "4                     pandemic definition   1150\n",
       "5                                pandemic   1050\n",
       "6                       defund definition    800\n",
       "7              social distance definition    600\n",
       "8                  martial law definition    300\n",
       "9   cuckold definition webster dictionary    200\n",
       "10                    epidemic definition    160\n",
       "11                    fracking definition    140\n",
       "12                      racism definition    120\n",
       "13                 gaslighting definition    110\n",
       "14                   redlining definition    100\n",
       "15                misogynistic definition     70\n",
       "16                     endemic definition     70\n",
       "17                        woke definition     70\n",
       "18                   incumbent definition     60\n",
       "19                      caucus definition     60\n",
       "20                        weeb definition     60\n",
       "21                        amid definition     50\n",
       "22                   dystopian definition     40"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_queries['definition']['rising']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>0</th>\n",
       "      <td>gulag urban dictionary</td>\n",
       "      <td>1700</td>\n",
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       "      <th>1</th>\n",
       "      <td>simp</td>\n",
       "      <td>1250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>urban dictionary simp</td>\n",
       "      <td>1150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>poggers urban dictionary</td>\n",
       "      <td>650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>simping urban dictionary</td>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>karen urban dictionary</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>peg urban dictionary</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>chile urban dictionary</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>cuckold definition webster dictionary</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>based urban dictionary</td>\n",
       "      <td>250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>karen dictionary</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>pog urban dictionary</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>dictionary somali to english</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>hasbro scrabble dictionary</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>u dictionary app</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>laban dictionary</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>scrabble word dictionary</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>dutch oven</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>u dictionary apk</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>scrabble dictionary cheat</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>scrabble dictionary</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>scrabble</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    query  value\n",
       "0                  gulag urban dictionary   1700\n",
       "1                                    simp   1250\n",
       "2                   urban dictionary simp   1150\n",
       "3                poggers urban dictionary    650\n",
       "4                simping urban dictionary    400\n",
       "5                  karen urban dictionary    350\n",
       "6                    peg urban dictionary    300\n",
       "7                  chile urban dictionary    300\n",
       "8   cuckold definition webster dictionary    250\n",
       "9                  based urban dictionary    250\n",
       "10                       karen dictionary    170\n",
       "11                   pog urban dictionary    150\n",
       "12           dictionary somali to english    100\n",
       "13             hasbro scrabble dictionary    100\n",
       "14                       u dictionary app     90\n",
       "15                       laban dictionary     80\n",
       "16               scrabble word dictionary     80\n",
       "17                             dutch oven     70\n",
       "18                       u dictionary apk     70\n",
       "19              scrabble dictionary cheat     60\n",
       "20                    scrabble dictionary     60\n",
       "21                               scrabble     60"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_queries['dictionary']['rising']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>query</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gulag urban dictionary</td>\n",
       "      <td>8200</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gulag</td>\n",
       "      <td>7650</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>what does simp mean urban dictionary</td>\n",
       "      <td>4900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>urban dictionary wap</td>\n",
       "      <td>4050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wap</td>\n",
       "      <td>3300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>entanglement</td>\n",
       "      <td>2750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>what is a simp</td>\n",
       "      <td>2600</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>simp meaning</td>\n",
       "      <td>2550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>wap urban dictionary</td>\n",
       "      <td>2300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>glizzy urban dictionary</td>\n",
       "      <td>2150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>poggers urban dictionary</td>\n",
       "      <td>1800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>mexican halloween urban dictionary</td>\n",
       "      <td>1600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>frazzledrip urban dictionary</td>\n",
       "      <td>1550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>simp meaning urban dictionary</td>\n",
       "      <td>1550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>simp urban dictionary</td>\n",
       "      <td>1400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>simp</td>\n",
       "      <td>1350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>bipoc urban dictionary</td>\n",
       "      <td>1300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>wasp mom</td>\n",
       "      <td>1150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>simping urban dictionary</td>\n",
       "      <td>850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>demon time urban dictionary</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>watermelon sugar urban dictionary</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1312 urban dictionary</td>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>simp definition urban dictionary</td>\n",
       "      <td>700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>cherry chapstick urban dictionary</td>\n",
       "      <td>650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>wfh urban dictionary</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   query  value\n",
       "0                 gulag urban dictionary   8200\n",
       "1                                  gulag   7650\n",
       "2   what does simp mean urban dictionary   4900\n",
       "3                   urban dictionary wap   4050\n",
       "4                                    wap   3300\n",
       "5                           entanglement   2750\n",
       "6                         what is a simp   2600\n",
       "7                           simp meaning   2550\n",
       "8                   wap urban dictionary   2300\n",
       "9                glizzy urban dictionary   2150\n",
       "10              poggers urban dictionary   1800\n",
       "11    mexican halloween urban dictionary   1600\n",
       "12          frazzledrip urban dictionary   1550\n",
       "13         simp meaning urban dictionary   1550\n",
       "14                 simp urban dictionary   1400\n",
       "15                                  simp   1350\n",
       "16                bipoc urban dictionary   1300\n",
       "17                              wasp mom   1150\n",
       "18              simping urban dictionary    850\n",
       "19           demon time urban dictionary    800\n",
       "20     watermelon sugar urban dictionary    800\n",
       "21                 1312 urban dictionary    800\n",
       "22      simp definition urban dictionary    700\n",
       "23     cherry chapstick urban dictionary    650\n",
       "24                  wfh urban dictionary    600"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_queries['urban dictionary']['rising']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                   gulag\n",
       "1                   gulag\n",
       "2     what does simp mean\n",
       "3                     wap\n",
       "4                     wap\n",
       "5            entanglement\n",
       "6          what is a simp\n",
       "7            simp meaning\n",
       "8                     wap\n",
       "9                  glizzy\n",
       "10                poggers\n",
       "11      mexican halloween\n",
       "12            frazzledrip\n",
       "13           simp meaning\n",
       "14                   simp\n",
       "15                   simp\n",
       "16                  bipoc\n",
       "17               wasp mom\n",
       "18                simping\n",
       "19             demon time\n",
       "20       watermelon sugar\n",
       "21                   1312\n",
       "22        simp definition\n",
       "23       cherry chapstick\n",
       "24                    wfh\n",
       "Name: query, dtype: object"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_queries['urban dictionary']['rising']['query'].apply(lambda x: x.replace('urban dictionary', '').strip())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "terms = ['define', 'dictionary', 'definition', 'urban dictionary']\n",
    "dfs = []\n",
    "for term in terms:\n",
    "    temp = related_queries[term]['rising']\n",
    "    temp['word'] = temp['query'].apply(lambda x: x.replace(term, '').strip())\n",
    "    dfs.append(temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>query</th>\n",
       "      <th>value</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>define coronavirus</td>\n",
       "      <td>29400</td>\n",
       "      <td>coronavirus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>pandemic</td>\n",
       "      <td>3450</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>pandemic define</td>\n",
       "      <td>3350</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>define furlough</td>\n",
       "      <td>850</td>\n",
       "      <td>furlough</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>define simp</td>\n",
       "      <td>850</td>\n",
       "      <td>simp</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>watermelon sugar urban dictionary</td>\n",
       "      <td>800</td>\n",
       "      <td>watermelon sugar</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1312 urban dictionary</td>\n",
       "      <td>800</td>\n",
       "      <td>1312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>simp definition urban dictionary</td>\n",
       "      <td>700</td>\n",
       "      <td>simp definition</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>cherry chapstick urban dictionary</td>\n",
       "      <td>650</td>\n",
       "      <td>cherry chapstick</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>wfh urban dictionary</td>\n",
       "      <td>600</td>\n",
       "      <td>wfh</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>95 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                query  value              word\n",
       "0                  define coronavirus  29400       coronavirus\n",
       "1                            pandemic   3450          pandemic\n",
       "2                     pandemic define   3350          pandemic\n",
       "3                     define furlough    850          furlough\n",
       "4                         define simp    850              simp\n",
       "..                                ...    ...               ...\n",
       "20  watermelon sugar urban dictionary    800  watermelon sugar\n",
       "21              1312 urban dictionary    800              1312\n",
       "22   simp definition urban dictionary    700   simp definition\n",
       "23  cherry chapstick urban dictionary    650  cherry chapstick\n",
       "24               wfh urban dictionary    600               wfh\n",
       "\n",
       "[95 rows x 3 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slang = pd.concat(dfs)\n",
    "slang"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def grouped(word):\n",
    "    df = word_dfs[word]\n",
    "    return df.groupby('year')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def last_month(word):\n",
    "    temp = word_dfs[word]\n",
    "    return temp[(temp[\"month\"] == 12) & (temp[\"year\"]==2019)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_emerging(word):\n",
    "    grp = grouped(word).agg(np.mean)\n",
    "    lm = last_month(word)\n",
    "    size = grp[grp[word] > 10]\n",
    "    size2 = np.mean(lm[word].values)\n",
    "    if size2 < 5 or len(size) < 2:\n",
    "        return True\n",
    "    return False\n",
    "#     if len(size) > 1 or size2 > 5:\n",
    "#         return False\n",
    "#     return True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['coronavirus', 'pandemic', 'furlough', 'simp', 'quarantine',\n",
       "       'asymptomatic', 'important synonym', 'however synonym', 'wap',\n",
       "       'synonym', 'synonyms', 'the song that  your life', 'meaning',\n",
       "       'asynchronous', 'endorse', 'racism', 'endurance', 'parasite',\n",
       "       'evoke', 'apprehension', 'prefer', 'deviant', 'thesaurus',\n",
       "       'condemn', 'gulag', 'poggers', 'simping', 'karen', 'peg', 'chile',\n",
       "       'cuckold definition webster', 'based', 'pog', 'somali to english',\n",
       "       'hasbro scrabble', 'u  app', 'laban', 'scrabble word',\n",
       "       'dutch oven', 'u  apk', 'scrabble  cheat', 'scrabble', 'of simp',\n",
       "       'defund', 'social distance', 'martial law',\n",
       "       'cuckold  webster dictionary', 'epidemic', 'fracking',\n",
       "       'gaslighting', 'redlining', 'misogynistic', 'endemic', 'woke',\n",
       "       'incumbent', 'caucus', 'weeb', 'amid', 'dystopian',\n",
       "       'what does simp mean', 'entanglement', 'what is a simp',\n",
       "       'simp meaning', 'glizzy', 'mexican halloween', 'frazzledrip',\n",
       "       'bipoc', 'wasp mom', 'demon time', 'watermelon sugar', '1312',\n",
       "       'simp definition', 'cherry chapstick', 'wfh'], dtype=object)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words = pd.unique(slang['word'].str.replace('urban', '').str.strip())\n",
    "words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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>query</th>\n",
       "      <th>value</th>\n",
       "      <th>word</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>coronavirus definition</td>\n",
       "      <td>34900</td>\n",
       "      <td>coronavirus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>define coronavirus</td>\n",
       "      <td>29400</td>\n",
       "      <td>coronavirus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>gulag urban dictionary</td>\n",
       "      <td>8200</td>\n",
       "      <td>gulag</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>gulag</td>\n",
       "      <td>7650</td>\n",
       "      <td>gulag</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>what does simp mean urban dictionary</td>\n",
       "      <td>4900</td>\n",
       "      <td>what does simp mean</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>caucus definition</td>\n",
       "      <td>60</td>\n",
       "      <td>caucus</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>weeb definition</td>\n",
       "      <td>60</td>\n",
       "      <td>weeb</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>scrabble</td>\n",
       "      <td>60</td>\n",
       "      <td>scrabble</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>amid definition</td>\n",
       "      <td>50</td>\n",
       "      <td>amid</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>dystopian definition</td>\n",
       "      <td>40</td>\n",
       "      <td>dystopian</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>95 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   query  value                 word\n",
       "0                 coronavirus definition  34900          coronavirus\n",
       "0                     define coronavirus  29400          coronavirus\n",
       "0                 gulag urban dictionary   8200                gulag\n",
       "1                                  gulag   7650                gulag\n",
       "2   what does simp mean urban dictionary   4900  what does simp mean\n",
       "..                                   ...    ...                  ...\n",
       "19                     caucus definition     60               caucus\n",
       "20                       weeb definition     60                 weeb\n",
       "21                              scrabble     60             scrabble\n",
       "21                       amid definition     50                 amid\n",
       "22                  dystopian definition     40            dystopian\n",
       "\n",
       "[95 rows x 3 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "slang.sort_values(\"value\", ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "word_dfs = {}\n",
    "\n",
    "for word in words:\n",
    "    wordtrend = TrendReq()\n",
    "    wordtrend.build_payload(kw_list=[word], timeframe='all')\n",
    "    df = wordtrend.interest_over_time()\n",
    "    df['year'] = df.index.year\n",
    "    df['month'] = df.index.month\n",
    "    word_dfs[word] = df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "important synonym\n",
      "however synonym\n",
      "wap\n",
      "synonym\n",
      "synonyms\n",
      "the song that  your life\n",
      "meaning\n",
      "asynchronous\n",
      "endorse\n",
      "racism\n",
      "endurance\n",
      "evoke\n",
      "apprehension\n",
      "prefer\n",
      "deviant\n",
      "thesaurus\n",
      "condemn\n",
      "gulag\n",
      "poggers\n",
      "karen\n",
      "peg\n",
      "chile\n",
      "cuckold definition webster\n",
      "based\n",
      "pog\n",
      "somali to english\n",
      "hasbro scrabble\n",
      "u  app\n",
      "laban\n",
      "scrabble word\n",
      "dutch oven\n",
      "u  apk\n",
      "scrabble  cheat\n",
      "scrabble\n",
      "cuckold  webster dictionary\n",
      "fracking\n",
      "gaslighting\n",
      "redlining\n",
      "misogynistic\n",
      "endemic\n",
      "woke\n",
      "incumbent\n",
      "weeb\n",
      "amid\n",
      "dystopian\n",
      "demon time\n",
      "1312\n"
     ]
    }
   ],
   "source": [
    "final = []\n",
    "\n",
    "for word in words:\n",
    "    if not is_emerging(word):\n",
    "        print(word)\n",
    "    else:\n",
    "        final.append(word)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['coronavirus',\n",
       " 'pandemic',\n",
       " 'furlough',\n",
       " 'simp',\n",
       " 'quarantine',\n",
       " 'asymptomatic',\n",
       " 'parasite',\n",
       " 'simping',\n",
       " 'of simp',\n",
       " 'defund',\n",
       " 'social distance',\n",
       " 'martial law',\n",
       " 'epidemic',\n",
       " 'caucus',\n",
       " 'what does simp mean',\n",
       " 'entanglement',\n",
       " 'what is a simp',\n",
       " 'simp meaning',\n",
       " 'glizzy',\n",
       " 'mexican halloween',\n",
       " 'frazzledrip',\n",
       " 'bipoc',\n",
       " 'wasp mom',\n",
       " 'watermelon sugar',\n",
       " 'simp definition',\n",
       " 'cherry chapstick',\n",
       " 'wfh']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_word(word):\n",
    "    return word_dfs[word][word].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f550efa5a60>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_word(\"wfh\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f550f5eb9d0>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_word('karen')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f550f06b8b0>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_word('based')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "savedwords = [\"coronavirus\", \"pandemic\", \"simp\", \"quarantine\", \"pandemic\", \"furlough\", \"asymptomatic\", \"glizzy\", \"wfh\", \"epidemic\", \"bipoc\", \"pog\", \"based\", \"gaslighting\", \"karen\", \"wap\", \"social distance\"]\n",
    "fin_dfs = []\n",
    "\n",
    "for word in savedwords:\n",
    "    fin_dfs.append(word_dfs[word])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.concat(fin_dfs).to_csv('slang2020_v2.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}