{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d3afe111",
   "metadata": {},
   "source": [
    "# Disaster Tweet Classification"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff61e4a8",
   "metadata": {},
   "source": [
    "Machine Learning Club @SJSU -\n",
    "Authors: Robert Yav, Richard Ky"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00c7e16c",
   "metadata": {},
   "source": [
    "The dataset used in this project is a dataset taken from kaggle: https://www.kaggle.com/code/cyrillescolano/nlp-disaster-tweet-classification The purpose of this project is to construct a ML model that will as accurately as possible classify tweets into disaster and nondisaster tweets.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5d6531d6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3c45d4db",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing data (will be different as we work in different environments)\n",
    "# In this case, this is Robert's Branch\n",
    "test= pd.read_csv(\"data/test.csv\")\n",
    "train= pd.read_csv(\"data/train.csv\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2eecfdf8",
   "metadata": {},
   "source": [
    "We will begin with exploratory data analysis on the training dataset in order to identify any patterns or issues early on before the modeling stage."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "b8e18219",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>keyword</th>\n",
       "      <th>location</th>\n",
       "      <th>text</th>\n",
       "      <th>target</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Our Deeds are the Reason of this #earthquake M...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Forest fire near La Ronge Sask. Canada</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>All residents asked to 'shelter in place' are ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13,000 people receive #wildfires evacuation or...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Just got sent this photo from Ruby #Alaska as ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id keyword location                                               text  \\\n",
       "0   1     NaN      NaN  Our Deeds are the Reason of this #earthquake M...   \n",
       "1   4     NaN      NaN             Forest fire near La Ronge Sask. Canada   \n",
       "2   5     NaN      NaN  All residents asked to 'shelter in place' are ...   \n",
       "3   6     NaN      NaN  13,000 people receive #wildfires evacuation or...   \n",
       "4   7     NaN      NaN  Just got sent this photo from Ruby #Alaska as ...   \n",
       "\n",
       "   target  \n",
       "0       1  \n",
       "1       1  \n",
       "2       1  \n",
       "3       1  \n",
       "4       1  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bd124960",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>id</th>\n",
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       "      <th>location</th>\n",
       "      <th>text</th>\n",
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       "      <th>0</th>\n",
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       "      <td>Just happened a terrible car crash</td>\n",
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       "      <th>1</th>\n",
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       "      <td>NaN</td>\n",
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       "      <td>Heard about #earthquake is different cities, s...</td>\n",
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       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>there is a forest fire at spot pond, geese are...</td>\n",
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       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Apocalypse lighting. #Spokane #wildfires</td>\n",
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       "      <th>4</th>\n",
       "      <td>11</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Typhoon Soudelor kills 28 in China and Taiwan</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "   id keyword location                                               text\n",
       "0   0     NaN      NaN                 Just happened a terrible car crash\n",
       "1   2     NaN      NaN  Heard about #earthquake is different cities, s...\n",
       "2   3     NaN      NaN  there is a forest fire at spot pond, geese are...\n",
       "3   9     NaN      NaN           Apocalypse lighting. #Spokane #wildfires\n",
       "4  11     NaN      NaN      Typhoon Soudelor kills 28 in China and Taiwan"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "227bb2bc",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7613 entries, 0 to 7612\n",
      "Data columns (total 5 columns):\n",
      " #   Column    Non-Null Count  Dtype \n",
      "---  ------    --------------  ----- \n",
      " 0   id        7613 non-null   int64 \n",
      " 1   keyword   7552 non-null   object\n",
      " 2   location  5080 non-null   object\n",
      " 3   text      7613 non-null   object\n",
      " 4   target    7613 non-null   int64 \n",
      "dtypes: int64(2), object(3)\n",
      "memory usage: 297.5+ KB\n"
     ]
    }
   ],
   "source": [
    "train.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b8139bad",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.33272034677525286\n",
      "0.3386454183266932\n"
     ]
    }
   ],
   "source": [
    "print(sum(train[\"location\"].isna())/train[\"location\"].size)\n",
    "print(sum(test[\"location\"].isna())/test[\"location\"].size)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3acd4ed9",
   "metadata": {},
   "source": [
    "Initially we can see that the location column contains many empty values. (33.27% null in train, 33.86% in test) Imputing this many null values may have a disasterous affect on the data, so we can choose to omit location."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "92324b1b",
   "metadata": {},
   "outputs": [],
   "source": [
    "train.drop(columns=[\"location\"],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8ba50235",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.008012610009194798\n",
      "0.00796812749003984\n"
     ]
    }
   ],
   "source": [
    "print(sum(train[\"keyword\"].isna())/train[\"keyword\"].size)\n",
    "print(sum(test[\"keyword\"].isna())/test[\"keyword\"].size)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89615427",
   "metadata": {},
   "source": [
    "The only other column containing null values is the column \"keyword\". However, there is less than a percent (~0.8% null in both train and test) of empty values in this column. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "dcbd2a3e",
   "metadata": {},
   "outputs": [
    {
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       "      <th>7609</th>\n",
       "      <td>10870</td>\n",
       "      <td>NaN</td>\n",
       "      <td>@aria_ahrary @TheTawniest The out of control w...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7610</th>\n",
       "      <td>10871</td>\n",
       "      <td>NaN</td>\n",
       "      <td>M1.94 [01:04 UTC]?5km S of Volcano Hawaii. htt...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7611</th>\n",
       "      <td>10872</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Police investigating after an e-bike collided ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7612</th>\n",
       "      <td>10873</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The Latest: More Homes Razed by Northern Calif...</td>\n",
       "      <td>1</td>\n",
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       "<p>61 rows × 4 columns</p>\n",
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      ],
      "text/plain": [
       "         id keyword                                               text  target\n",
       "0         1     NaN  Our Deeds are the Reason of this #earthquake M...       1\n",
       "1         4     NaN             Forest fire near La Ronge Sask. Canada       1\n",
       "2         5     NaN  All residents asked to 'shelter in place' are ...       1\n",
       "3         6     NaN  13,000 people receive #wildfires evacuation or...       1\n",
       "4         7     NaN  Just got sent this photo from Ruby #Alaska as ...       1\n",
       "...     ...     ...                                                ...     ...\n",
       "7608  10869     NaN  Two giant cranes holding a bridge collapse int...       1\n",
       "7609  10870     NaN  @aria_ahrary @TheTawniest The out of control w...       1\n",
       "7610  10871     NaN  M1.94 [01:04 UTC]?5km S of Volcano Hawaii. htt...       1\n",
       "7611  10872     NaN  Police investigating after an e-bike collided ...       1\n",
       "7612  10873     NaN  The Latest: More Homes Razed by Northern Calif...       1\n",
       "\n",
       "[61 rows x 4 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.loc[train[\"keyword\"].isna()]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20a593b7",
   "metadata": {},
   "source": [
    "We can either choose to omit these entries, generate the model with these entries empty, or fill in the null values manually with our own keywords selected from the text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "53dc5045",
   "metadata": {},
   "outputs": [
    {
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       "      <td>1</td>\n",
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       "      <td>13</td>\n",
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       "      <th>8</th>\n",
       "      <td>14</td>\n",
       "      <td>NaN</td>\n",
       "      <td>There's an emergency evacuation happening now ...</td>\n",
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       "      <th>9</th>\n",
       "      <td>15</td>\n",
       "      <td>NaN</td>\n",
       "      <td>I'm afraid that the tornado is coming to our a...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
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       "      <th>10</th>\n",
       "      <td>16</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Three people died from the heat wave so far</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
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       "      <th>11</th>\n",
       "      <td>17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Haha South Tampa is getting flooded hah- WAIT ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#raining #flooding #Florida #TampaBay #Tampa 1...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
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       "      <th>13</th>\n",
       "      <td>19</td>\n",
       "      <td>NaN</td>\n",
       "      <td>#Flood in Bago Myanmar #We arrived Bago</td>\n",
       "      <td>1</td>\n",
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       "      <th>14</th>\n",
       "      <td>20</td>\n",
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       "      <td>Damage to school bus on 80 in multi car crash ...</td>\n",
       "      <td>1</td>\n",
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       "      <th>15</th>\n",
       "      <td>23</td>\n",
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       "      <td>What's up man?</td>\n",
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       "      <td>24</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Summer is lovely</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>26</td>\n",
       "      <td>NaN</td>\n",
       "      <td>My car is so fast</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>What a goooooooaaaaaal!!!!!!</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>31</td>\n",
       "      <td>NaN</td>\n",
       "      <td>this is ridiculous....</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>32</td>\n",
       "      <td>NaN</td>\n",
       "      <td>London is cool ;)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>33</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Love skiing</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>34</td>\n",
       "      <td>NaN</td>\n",
       "      <td>What a wonderful day!</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>36</td>\n",
       "      <td>NaN</td>\n",
       "      <td>LOOOOOOL</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>37</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No way...I can't eat that shit</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>38</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Was in NYC last week!</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>39</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Love my girlfriend</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>40</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Cooool :)</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>41</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Do you like pasta?</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>44</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The end!</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>48</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>@bbcmtd Wholesale Markets ablaze http://t.co/l...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>49</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>We always try to bring the heavy. #metal #RT h...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>50</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>#AFRICANBAZE: Breaking news:Nigeria flag set a...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>52</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>Crying out for more! Set me ablaze</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>53</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>On plus side LOOK AT THE SKY LAST NIGHT IT WAS...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>54</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>@PhDSquares #mufc they've built so much hype a...</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>55</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>INEC Office in Abia Set Ablaze - http://t.co/3...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>56</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>Barbados #Bridgetown JAMAICA ‰ÛÒ Two cars set ...</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>57</td>\n",
       "      <td>ablaze</td>\n",
       "      <td>Ablaze for you Lord :D</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id keyword                                               text  target\n",
       "0    1     NaN  Our Deeds are the Reason of this #earthquake M...       1\n",
       "1    4     NaN             Forest fire near La Ronge Sask. Canada       1\n",
       "2    5     NaN  All residents asked to 'shelter in place' are ...       1\n",
       "3    6     NaN  13,000 people receive #wildfires evacuation or...       1\n",
       "4    7     NaN  Just got sent this photo from Ruby #Alaska as ...       1\n",
       "5    8     NaN  #RockyFire Update => California Hwy. 20 closed...       1\n",
       "6   10     NaN  #flood #disaster Heavy rain causes flash flood...       1\n",
       "7   13     NaN  I'm on top of the hill and I can see a fire in...       1\n",
       "8   14     NaN  There's an emergency evacuation happening now ...       1\n",
       "9   15     NaN  I'm afraid that the tornado is coming to our a...       1\n",
       "10  16     NaN        Three people died from the heat wave so far       1\n",
       "11  17     NaN  Haha South Tampa is getting flooded hah- WAIT ...       1\n",
       "12  18     NaN  #raining #flooding #Florida #TampaBay #Tampa 1...       1\n",
       "13  19     NaN            #Flood in Bago Myanmar #We arrived Bago       1\n",
       "14  20     NaN  Damage to school bus on 80 in multi car crash ...       1\n",
       "15  23     NaN                                     What's up man?       0\n",
       "16  24     NaN                                      I love fruits       0\n",
       "17  25     NaN                                   Summer is lovely       0\n",
       "18  26     NaN                                  My car is so fast       0\n",
       "19  28     NaN                       What a goooooooaaaaaal!!!!!!       0\n",
       "20  31     NaN                             this is ridiculous....       0\n",
       "21  32     NaN                                  London is cool ;)       0\n",
       "22  33     NaN                                        Love skiing       0\n",
       "23  34     NaN                              What a wonderful day!       0\n",
       "24  36     NaN                                           LOOOOOOL       0\n",
       "25  37     NaN                     No way...I can't eat that shit       0\n",
       "26  38     NaN                              Was in NYC last week!       0\n",
       "27  39     NaN                                 Love my girlfriend       0\n",
       "28  40     NaN                                          Cooool :)       0\n",
       "29  41     NaN                                 Do you like pasta?       0\n",
       "30  44     NaN                                           The end!       0\n",
       "31  48  ablaze  @bbcmtd Wholesale Markets ablaze http://t.co/l...       1\n",
       "32  49  ablaze  We always try to bring the heavy. #metal #RT h...       0\n",
       "33  50  ablaze  #AFRICANBAZE: Breaking news:Nigeria flag set a...       1\n",
       "34  52  ablaze                 Crying out for more! Set me ablaze       0\n",
       "35  53  ablaze  On plus side LOOK AT THE SKY LAST NIGHT IT WAS...       0\n",
       "36  54  ablaze  @PhDSquares #mufc they've built so much hype a...       0\n",
       "37  55  ablaze  INEC Office in Abia Set Ablaze - http://t.co/3...       1\n",
       "38  56  ablaze  Barbados #Bridgetown JAMAICA ‰ÛÒ Two cars set ...       1\n",
       "39  57  ablaze                             Ablaze for you Lord :D       0"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.head(40)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1ed1938b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([nan, 'ablaze', 'accident', 'aftershock', 'airplane%20accident',\n",
       "       'ambulance', 'annihilated', 'annihilation', 'apocalypse',\n",
       "       'armageddon', 'army', 'arson', 'arsonist', 'attack', 'attacked',\n",
       "       'avalanche', 'battle', 'bioterror', 'bioterrorism', 'blaze',\n",
       "       'blazing', 'bleeding', 'blew%20up', 'blight', 'blizzard', 'blood',\n",
       "       'bloody', 'blown%20up', 'body%20bag', 'body%20bagging',\n",
       "       'body%20bags', 'bomb', 'bombed', 'bombing', 'bridge%20collapse',\n",
       "       'buildings%20burning', 'buildings%20on%20fire', 'burned',\n",
       "       'burning', 'burning%20buildings', 'bush%20fires', 'casualties',\n",
       "       'casualty', 'catastrophe', 'catastrophic', 'chemical%20emergency',\n",
       "       'cliff%20fall', 'collapse', 'collapsed', 'collide', 'collided',\n",
       "       'collision', 'crash', 'crashed', 'crush', 'crushed', 'curfew',\n",
       "       'cyclone', 'damage', 'danger', 'dead', 'death', 'deaths', 'debris',\n",
       "       'deluge', 'deluged', 'demolish', 'demolished', 'demolition',\n",
       "       'derail', 'derailed', 'derailment', 'desolate', 'desolation',\n",
       "       'destroy', 'destroyed', 'destruction', 'detonate', 'detonation',\n",
       "       'devastated', 'devastation', 'disaster', 'displaced', 'drought',\n",
       "       'drown', 'drowned', 'drowning', 'dust%20storm', 'earthquake',\n",
       "       'electrocute', 'electrocuted', 'emergency', 'emergency%20plan',\n",
       "       'emergency%20services', 'engulfed', 'epicentre', 'evacuate',\n",
       "       'evacuated', 'evacuation', 'explode', 'exploded', 'explosion',\n",
       "       'eyewitness', 'famine', 'fatal', 'fatalities', 'fatality', 'fear',\n",
       "       'fire', 'fire%20truck', 'first%20responders', 'flames',\n",
       "       'flattened', 'flood', 'flooding', 'floods', 'forest%20fire',\n",
       "       'forest%20fires', 'hail', 'hailstorm', 'harm', 'hazard',\n",
       "       'hazardous', 'heat%20wave', 'hellfire', 'hijack', 'hijacker',\n",
       "       'hijacking', 'hostage', 'hostages', 'hurricane', 'injured',\n",
       "       'injuries', 'injury', 'inundated', 'inundation', 'landslide',\n",
       "       'lava', 'lightning', 'loud%20bang', 'mass%20murder',\n",
       "       'mass%20murderer', 'massacre', 'mayhem', 'meltdown', 'military',\n",
       "       'mudslide', 'natural%20disaster', 'nuclear%20disaster',\n",
       "       'nuclear%20reactor', 'obliterate', 'obliterated', 'obliteration',\n",
       "       'oil%20spill', 'outbreak', 'pandemonium', 'panic', 'panicking',\n",
       "       'police', 'quarantine', 'quarantined', 'radiation%20emergency',\n",
       "       'rainstorm', 'razed', 'refugees', 'rescue', 'rescued', 'rescuers',\n",
       "       'riot', 'rioting', 'rubble', 'ruin', 'sandstorm', 'screamed',\n",
       "       'screaming', 'screams', 'seismic', 'sinkhole', 'sinking', 'siren',\n",
       "       'sirens', 'smoke', 'snowstorm', 'storm', 'stretcher',\n",
       "       'structural%20failure', 'suicide%20bomb', 'suicide%20bomber',\n",
       "       'suicide%20bombing', 'sunk', 'survive', 'survived', 'survivors',\n",
       "       'terrorism', 'terrorist', 'threat', 'thunder', 'thunderstorm',\n",
       "       'tornado', 'tragedy', 'trapped', 'trauma', 'traumatised',\n",
       "       'trouble', 'tsunami', 'twister', 'typhoon', 'upheaval',\n",
       "       'violent%20storm', 'volcano', 'war%20zone', 'weapon', 'weapons',\n",
       "       'whirlwind', 'wild%20fires', 'wildfire', 'windstorm', 'wounded',\n",
       "       'wounds', 'wreck', 'wreckage', 'wrecked'], dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train[\"keyword\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bcce9685",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note to team: What should we do? Many of the na's can be preperly put into keywords but some are just online phrases like \"LoOOL!!\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "35b4b9d3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "221\n",
      "221\n"
     ]
    }
   ],
   "source": [
    "print(test[\"keyword\"].nunique())\n",
    "print(train[\"keyword\"].nunique()) #221 Unique keywords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "cacc977a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x2520 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Gotta find a better way to show the unique values. (main issue is that there are too many. maybe use subplots?)\n",
    "unique_values = train[\"keyword\"].value_counts()\n",
    "fig,ax = plt.subplots(1,1,figsize=(10,35))\n",
    "plt.scatter(unique_values.values,unique_values.index)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "392c5a17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id          0\n",
       "keyword    61\n",
       "text        0\n",
       "target      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train.isna().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "eeec0683",
   "metadata": {},
   "outputs": [
    {
     "ename": "SyntaxError",
     "evalue": "invalid syntax (Temp/ipykernel_15004/2826692126.py, line 2)",
     "output_type": "error",
     "traceback": [
      "\u001b[1;36m  File \u001b[1;32m\"C:\\Users\\young\\AppData\\Local\\Temp/ipykernel_15004/2826692126.py\"\u001b[1;36m, line \u001b[1;32m2\u001b[0m\n\u001b[1;33m    python -m spacy download en_core_web_sm\u001b[0m\n\u001b[1;37m              ^\u001b[0m\n\u001b[1;31mSyntaxError\u001b[0m\u001b[1;31m:\u001b[0m invalid syntax\n"
     ]
    }
   ],
   "source": [
    "# We must lowercase all target text, tokenize and lemmaize\n",
    "python -m spacy download en_core_web_sm\n",
    "import spacy\n",
    "train[\"text\"] = train[\"text\"].str.lower()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9097e5af",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "4b62ea8e",
   "metadata": {},
   "outputs": [],
   "source": [
    "##Splitting the data (Change the test size back to 0.2, we changed it higher to reduce load time)\n",
    "X=train.drop(columns=[\"target\"])\n",
    "y=train[\"target\"]\n",
    "X.shape,y.shape\n",
    "X_train, X_test, y_train, y_test = train_test_split(X,y,random_state=42, test_size=0.8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1b7faf8d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\young\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:1817: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_single_column(loc, value, pi)\n"
     ]
    }
   ],
   "source": [
    "# Attempting to fill in na values by filling them with preexisting keywords.\n",
    "mask1 = X_train.loc[X_train[\"keyword\"].isna()] \n",
    "\n",
    "# Can ignore these, just for debugging\n",
    "#print(mask1['keyword'].isna().sum())  \n",
    "#print(len(mask1[mask1['keyword'] == 'wildfire']))\n",
    "\n",
    "words = X_train['keyword'].unique().astype(np.str_)\n",
    "keywords = np.char.replace(words, \"%20\", ' ')\n",
    "\n",
    "for x in keywords:\n",
    "    # Note to self: must use str.lower() and str.contains() for Pandas series\n",
    "    mask2 = mask1[\"text\"].str.lower().str.contains(x)\n",
    "    mask1.loc[mask2,\"keyword\"] = x \n",
    "\n",
    "mask1.loc[mask1.keyword.isna(), 'keyword'] = 'none'\n",
    "\n",
    "# Debugging\n",
    "#print(mask1['keyword'].isna().sum())      \n",
    "#print(len(mask1[mask1['keyword'] == 'wildfire']))\n",
    "#print(mask1.loc[mask1['keyword'].isna()])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c4d73ae6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['burned', 'tragedy', 'wounds', 'chemical%20emergency',\n",
       "       'traumatised', 'emergency%20plan', 'injuries', 'loud%20bang',\n",
       "       'volcano', 'mass%20murder', 'fatal', 'seismic', 'curfew',\n",
       "       'attacked', 'harm', 'burning', 'rescue', 'bloody', 'exploded',\n",
       "       'fatality', 'hazardous', 'emergency', 'debris', 'blew%20up',\n",
       "       'hostage', 'sinking', 'blown%20up', 'blizzard', 'military',\n",
       "       'heat%20wave', 'airplane%20accident', 'refugees', 'injured',\n",
       "       'flooding', 'desolation', 'whirlwind', 'obliterated', 'trouble',\n",
       "       'panic', 'wreckage', 'upheaval', 'evacuate', 'armageddon',\n",
       "       'sandstorm', 'desolate', 'war%20zone', 'screaming', 'hijacking',\n",
       "       'electrocute', 'outbreak', 'thunder', 'ablaze', 'forest%20fires',\n",
       "       'crushed', 'catastrophe', 'mass%20murderer', 'massacre',\n",
       "       'evacuated', 'screams', 'mayhem', 'rioting', 'deaths', 'windstorm',\n",
       "       'nuclear%20disaster', 'suicide%20bombing', 'earthquake',\n",
       "       'quarantine', 'explosion', 'apocalypse', 'hurricane', 'tornado',\n",
       "       'demolition', 'devastated', 'dead', 'evacuation', 'bleeding',\n",
       "       'terrorist', 'deluged', 'body%20bagging', 'emergency%20services',\n",
       "       'collision', 'snowstorm', 'collided', 'fear', 'blazing', 'explode',\n",
       "       'meltdown', 'body%20bag', 'weapon', 'deluge', 'detonation',\n",
       "       'lightning', 'tsunami', 'famine', 'damage', 'hailstorm',\n",
       "       'mudslide', 'wrecked', 'storm', 'arson', 'avalanche',\n",
       "       'violent%20storm', 'hazard', 'eyewitness', 'ambulance',\n",
       "       'burning%20buildings', 'inundated', 'forest%20fire', 'crush',\n",
       "       'drought', 'buildings%20burning', 'collapsed', 'suicide%20bomber',\n",
       "       'crash', 'quarantined', 'fire%20truck', 'bioterror', 'aftershock',\n",
       "       'flames', 'drowned', 'police', 'epicentre', 'twister',\n",
       "       'derailment', 'army', 'sirens', 'stretcher', 'trapped', 'death',\n",
       "       'crashed', 'blight', 'detonate', 'accident', 'fire', 'drown',\n",
       "       'derail', 'survivors', nan, 'siren', 'typhoon', 'riot', 'injury',\n",
       "       'destruction', 'bombed', 'destroyed', 'arsonist',\n",
       "       'buildings%20on%20fire', 'attack', 'danger', 'rainstorm',\n",
       "       'wild%20fires', 'cyclone', 'electrocuted', 'floods', 'inundation',\n",
       "       'nuclear%20reactor', 'lava', 'bomb', 'ruin', 'blood', 'drowning',\n",
       "       'panicking', 'destroy', 'oil%20spill', 'threat', 'collapse',\n",
       "       'terrorism', 'collide', 'annihilation', 'thunderstorm',\n",
       "       'cliff%20fall', 'annihilated', 'bombing', 'weapons', 'devastation',\n",
       "       'hellfire', 'rescuers', 'blaze', 'pandemonium', 'hijack',\n",
       "       'bridge%20collapse', 'wildfire', 'demolished',\n",
       "       'first%20responders', 'suicide%20bomb', 'survive', 'disaster',\n",
       "       'bioterrorism', 'rubble', 'fatalities', 'sunk', 'obliterate',\n",
       "       'demolish', 'obliteration', 'screamed', 'flattened', 'landslide',\n",
       "       'razed', 'engulfed', 'hostages', 'smoke', 'displaced',\n",
       "       'structural%20failure', 'wreck', 'survived', 'hijacker',\n",
       "       'casualty', 'flood', 'trauma', 'dust%20storm',\n",
       "       'natural%20disaster', 'casualties', 'wounded', 'bush%20fires',\n",
       "       'radiation%20emergency', 'hail', 'catastrophic', 'derailed',\n",
       "       'battle', 'sinkhole', 'rescued', 'body%20bags'], dtype=object)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(X_train[\"keyword\"]==\"none\")\n",
    "X_train[\"keyword\"].unique()"
   ]
  }
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