testing.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "115ed154-e9bf-4f32-befa-4a214392fd97",
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import pandas as pd\n",
    "\n",
    "from sqlalchemy import create_engine\n",
    "from joblib import dump, load\n",
    "from pathlib import Path\n",
    "# import dill as pickle\n",
    "\n",
    "import re\n",
    "import nltk\n",
    "from nltk.tokenize import word_tokenize\n",
    "from nltk.stem import WordNetLemmatizer\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "from sklearn.metrics import classification_report, accuracy_score\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.multioutput import MultiOutputClassifier\n",
    "from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer\n",
    "from sklearn.pipeline import Pipeline, FeatureUnion\n",
    "from sklearn.base import BaseEstimator, TransformerMixin\n",
    "\n",
    "from plotly.graph_objs import Bar\n",
    "import joblib\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "98b91e1b-6f5d-441e-916e-086670353eea",
   "metadata": {},
   "outputs": [],
   "source": [
    "def tokenize(text: str):\n",
    "    \"\"\"\n",
    "    Process raw text input\n",
    "    :param text: raw text input\n",
    "    :return: cleaned text tokens\n",
    "    \"\"\"\n",
    "    # https://www.mackelab.org/sbi/faq/question_03/\n",
    "    # https://stackoverflow.com/questions/44911539/pickle-picklingerror-args0-from-newobj-args-has-the-wrong-class-with-hado\n",
    "\n",
    "    url_regex = \"http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+\"\n",
    "    detected_urls = re.findall(url_regex, text)\n",
    "    for url in detected_urls:\n",
    "        text = text.replace(url, \"urlplaceholder\")\n",
    "\n",
    "    tokens = word_tokenize(text.lower())\n",
    "    tokens = [w for w in tokens if w not in ENGLISH_STOPWORDS]\n",
    "    lemmatizer = WordNetLemmatizer()\n",
    "\n",
    "    clean_tokens = []\n",
    "    for tok in tokens:\n",
    "        clean_tok = lemmatizer.lemmatize(tok).strip()\n",
    "        clean_tokens.append(clean_tok)\n",
    "\n",
    "    return clean_tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "be2ec3ee-806c-45ea-939f-58201506a9d0",
   "metadata": {},
   "outputs": [],
   "source": [
    "engine = create_engine(\"sqlite:///data/DisasterResponse.db\")\n",
    "df = pd.read_sql_table(\"DisasterTweets\", engine)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5925b86e-b6b5-45e1-9c43-60eed24b276f",
   "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>id</th>\n",
       "      <th>message</th>\n",
       "      <th>original</th>\n",
       "      <th>genre</th>\n",
       "      <th>related</th>\n",
       "      <th>request</th>\n",
       "      <th>offer</th>\n",
       "      <th>aid_related</th>\n",
       "      <th>medical_help</th>\n",
       "      <th>medical_products</th>\n",
       "      <th>...</th>\n",
       "      <th>aid_centers</th>\n",
       "      <th>other_infrastructure</th>\n",
       "      <th>weather_related</th>\n",
       "      <th>floods</th>\n",
       "      <th>storm</th>\n",
       "      <th>fire</th>\n",
       "      <th>earthquake</th>\n",
       "      <th>cold</th>\n",
       "      <th>other_weather</th>\n",
       "      <th>direct_report</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>Weather update - a cold front from Cuba that c...</td>\n",
       "      <td>Un front froid se retrouve sur Cuba ce matin. ...</td>\n",
       "      <td>direct</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7</td>\n",
       "      <td>Is the Hurricane over or is it not over</td>\n",
       "      <td>Cyclone nan fini osinon li pa fini</td>\n",
       "      <td>direct</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8</td>\n",
       "      <td>Looking for someone but no name</td>\n",
       "      <td>Patnm, di Maryani relem pou li banm nouvel li ...</td>\n",
       "      <td>direct</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>9</td>\n",
       "      <td>UN reports Leogane 80-90 destroyed. Only Hospi...</td>\n",
       "      <td>UN reports Leogane 80-90 destroyed. Only Hospi...</td>\n",
       "      <td>direct</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12</td>\n",
       "      <td>says: west side of Haiti, rest of the country ...</td>\n",
       "      <td>facade ouest d Haiti et le reste du pays aujou...</td>\n",
       "      <td>direct</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   id                                            message  \\\n",
       "0   2  Weather update - a cold front from Cuba that c...   \n",
       "1   7            Is the Hurricane over or is it not over   \n",
       "2   8                    Looking for someone but no name   \n",
       "3   9  UN reports Leogane 80-90 destroyed. Only Hospi...   \n",
       "4  12  says: west side of Haiti, rest of the country ...   \n",
       "\n",
       "                                            original   genre  related  \\\n",
       "0  Un front froid se retrouve sur Cuba ce matin. ...  direct      1.0   \n",
       "1                 Cyclone nan fini osinon li pa fini  direct      1.0   \n",
       "2  Patnm, di Maryani relem pou li banm nouvel li ...  direct      1.0   \n",
       "3  UN reports Leogane 80-90 destroyed. Only Hospi...  direct      1.0   \n",
       "4  facade ouest d Haiti et le reste du pays aujou...  direct      1.0   \n",
       "\n",
       "   request  offer  aid_related  medical_help  medical_products  ...  \\\n",
       "0      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "1      0.0    0.0          1.0           0.0               0.0  ...   \n",
       "2      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "3      1.0    0.0          1.0           0.0               1.0  ...   \n",
       "4      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "\n",
       "   aid_centers  other_infrastructure  weather_related  floods  storm  fire  \\\n",
       "0          0.0                   0.0              0.0     0.0    0.0   0.0   \n",
       "1          0.0                   0.0              1.0     0.0    1.0   0.0   \n",
       "2          0.0                   0.0              0.0     0.0    0.0   0.0   \n",
       "3          0.0                   0.0              0.0     0.0    0.0   0.0   \n",
       "4          0.0                   0.0              0.0     0.0    0.0   0.0   \n",
       "\n",
       "   earthquake  cold  other_weather  direct_report  \n",
       "0         0.0   0.0            0.0            0.0  \n",
       "1         0.0   0.0            0.0            0.0  \n",
       "2         0.0   0.0            0.0            0.0  \n",
       "3         0.0   0.0            0.0            0.0  \n",
       "4         0.0   0.0            0.0            0.0  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "077b9b3c-d8b9-4697-845c-3c3438b2c7d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "model_long = joblib.load(\"models/classifier_gridLong.pkl\")\n",
    "model_grid = joblib.load(\"models/classifier_grid.pkl\")\n",
    "model = joblib.load(\"models/classifier.pkl\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "97ce91b5-49b6-4f4a-ad1e-2952117e5f24",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "        0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_long.predict([\"My parent's are gone\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1f20393a-afa4-4ba1-b06c-a02a75fb9010",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "        0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "        0., 0., 0., 0.]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_grid.predict([\"My parent's are gone\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ca162412-9877-47e4-b88c-5a23ee4ecbe2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
       "       0., 0.])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict([\"My parent's are gone\"])[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "6b8ec46d-994c-4e2b-b670-e6d9c2f2f685",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([[0.2       , 0.77733333, 0.02266667]]),\n",
       " array([[0.75, 0.25]]),\n",
       " array([[1., 0.]]),\n",
       " array([[0.64, 0.36]]),\n",
       " array([[0.91, 0.09]]),\n",
       " array([[1., 0.]]),\n",
       " array([[0.97, 0.03]]),\n",
       " array([[0.93, 0.07]]),\n",
       " array([[1., 0.]]),\n",
       " array([[1.]]),\n",
       " array([[0.93, 0.07]]),\n",
       " array([[0.85, 0.15]]),\n",
       " array([[0.82, 0.18]]),\n",
       " array([[0.8, 0.2]]),\n",
       " array([[0.9, 0.1]]),\n",
       " array([[0.99, 0.01]]),\n",
       " array([[1., 0.]]),\n",
       " array([[0.99, 0.01]]),\n",
       " array([[0.75, 0.25]]),\n",
       " array([[0.94, 0.06]]),\n",
       " array([[0.98, 0.02]]),\n",
       " array([[0.93, 0.07]]),\n",
       " array([[1., 0.]]),\n",
       " array([[1., 0.]]),\n",
       " array([[1., 0.]]),\n",
       " array([[1., 0.]]),\n",
       " array([[0.98, 0.02]]),\n",
       " array([[0.95, 0.05]]),\n",
       " array([[0.85166667, 0.14833333]]),\n",
       " array([[0.96666667, 0.03333333]]),\n",
       " array([[1., 0.]]),\n",
       " array([[1., 0.]]),\n",
       " array([[0.94, 0.06]]),\n",
       " array([[1., 0.]]),\n",
       " array([[0.96, 0.04]]),\n",
       " array([[0.73, 0.27]])]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict_proba([\"My parent's are gone\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "03b2f2f5-48f2-4f47-ac78-4c17b3f51ca8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.related.max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9e8d5fad-f92a-409f-93d0-6e6c71915479",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0    25347\n",
       "1.0      860\n",
       "Name: military, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.military.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d56d9d65-30d6-453b-bd9a-dae3e54143d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['id', 'message', 'original', 'genre', 'related', 'request', 'offer',\n",
       "       'aid_related', 'medical_help', 'medical_products', 'search_and_rescue',\n",
       "       'security', 'military', 'child_alone', 'water', 'food', 'shelter',\n",
       "       'clothing', 'money', 'missing_people', 'refugees', 'death', 'other_aid',\n",
       "       'infrastructure_related', 'transport', 'buildings', 'electricity',\n",
       "       'tools', 'hospitals', 'shops', 'aid_centers', 'other_infrastructure',\n",
       "       'weather_related', 'floods', 'storm', 'fire', 'earthquake', 'cold',\n",
       "       'other_weather', 'direct_report'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "d08c6992-6b34-44c1-8333-c7a3b5a3110c",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq_dict = {}\n",
    "for col in df.columns[4:]:\n",
    "    freq_dict.update({col: df[col].sum()})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "91282f4e-8dcc-44fd-9ca1-d58fb12f55a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'related': 20298.0,\n",
       " 'request': 4480.0,\n",
       " 'offer': 119.0,\n",
       " 'aid_related': 10878.0,\n",
       " 'medical_help': 2087.0,\n",
       " 'medical_products': 1314.0,\n",
       " 'search_and_rescue': 724.0,\n",
       " 'security': 471.0,\n",
       " 'military': 860.0,\n",
       " 'child_alone': 0.0,\n",
       " 'water': 1674.0,\n",
       " 'food': 2930.0,\n",
       " 'shelter': 2319.0,\n",
       " 'clothing': 406.0,\n",
       " 'money': 604.0,\n",
       " 'missing_people': 299.0,\n",
       " 'refugees': 876.0,\n",
       " 'death': 1196.0,\n",
       " 'other_aid': 3448.0,\n",
       " 'infrastructure_related': 1705.0,\n",
       " 'transport': 1203.0,\n",
       " 'buildings': 1335.0,\n",
       " 'electricity': 534.0,\n",
       " 'tools': 159.0,\n",
       " 'hospitals': 283.0,\n",
       " 'shops': 120.0,\n",
       " 'aid_centers': 309.0,\n",
       " 'other_infrastructure': 1151.0,\n",
       " 'weather_related': 7302.0,\n",
       " 'floods': 2158.0,\n",
       " 'storm': 2448.0,\n",
       " 'fire': 282.0,\n",
       " 'earthquake': 2453.0,\n",
       " 'cold': 530.0,\n",
       " 'other_weather': 1376.0,\n",
       " 'direct_report': 5080.0}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "freq_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "06710ec8-1a43-4a73-80ff-24d25ed09efc",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freq</th>\n",
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       "      <th>related</th>\n",
       "      <td>20298.0</td>\n",
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       "      <th>medical_help</th>\n",
       "      <td>2087.0</td>\n",
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       "    <tr>\n",
       "      <th>medical_products</th>\n",
       "      <td>1314.0</td>\n",
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       "      <th>search_and_rescue</th>\n",
       "      <td>724.0</td>\n",
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       "      <td>471.0</td>\n",
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       "    <tr>\n",
       "      <th>military</th>\n",
       "      <td>860.0</td>\n",
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       "      <th>child_alone</th>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>water</th>\n",
       "      <td>1674.0</td>\n",
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       "      <td>2319.0</td>\n",
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       "      <th>clothing</th>\n",
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       "      <th>money</th>\n",
       "      <td>604.0</td>\n",
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       "      <th>missing_people</th>\n",
       "      <td>299.0</td>\n",
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       "      <td>1196.0</td>\n",
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       "      <td>3448.0</td>\n",
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       "      <td>1705.0</td>\n",
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       "      <td>1203.0</td>\n",
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       "      <td>1335.0</td>\n",
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       "      <td>159.0</td>\n",
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       "      <td>283.0</td>\n",
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       "      <th>shops</th>\n",
       "      <td>120.0</td>\n",
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       "      <td>309.0</td>\n",
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       "      <th>other_infrastructure</th>\n",
       "      <td>1151.0</td>\n",
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       "      <th>weather_related</th>\n",
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       "      <th>floods</th>\n",
       "      <td>2158.0</td>\n",
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       "      <th>storm</th>\n",
       "      <td>2448.0</td>\n",
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       "      <td>530.0</td>\n",
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       "      <td>1376.0</td>\n",
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       "    <tr>\n",
       "      <th>direct_report</th>\n",
       "      <td>5080.0</td>\n",
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       "                           freq\n",
       "related                 20298.0\n",
       "request                  4480.0\n",
       "offer                     119.0\n",
       "aid_related             10878.0\n",
       "medical_help             2087.0\n",
       "medical_products         1314.0\n",
       "search_and_rescue         724.0\n",
       "security                  471.0\n",
       "military                  860.0\n",
       "child_alone                 0.0\n",
       "water                    1674.0\n",
       "food                     2930.0\n",
       "shelter                  2319.0\n",
       "clothing                  406.0\n",
       "money                     604.0\n",
       "missing_people            299.0\n",
       "refugees                  876.0\n",
       "death                    1196.0\n",
       "other_aid                3448.0\n",
       "infrastructure_related   1705.0\n",
       "transport                1203.0\n",
       "buildings                1335.0\n",
       "electricity               534.0\n",
       "tools                     159.0\n",
       "hospitals                 283.0\n",
       "shops                     120.0\n",
       "aid_centers               309.0\n",
       "other_infrastructure     1151.0\n",
       "weather_related          7302.0\n",
       "floods                   2158.0\n",
       "storm                    2448.0\n",
       "fire                      282.0\n",
       "earthquake               2453.0\n",
       "cold                      530.0\n",
       "other_weather            1376.0\n",
       "direct_report            5080.0"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_freq = pd.DataFrame.from_dict(freq_dict, orient=\"index\", columns=[\"freq\"])\n",
    "data_freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "ef8dab5e-c113-4f65-9489-6170f3d70507",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index([0, 'freq'], dtype='object')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_freq.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "75f2a9e6-3847-4942-b94e-51d26be8d2af",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "module 'plotly.express' has no attribute 'Bar'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "Input \u001b[0;32mIn [45]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mplotly\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mexpress\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpx\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m fig \u001b[38;5;241m=\u001b[39m \u001b[43mpx\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mBar\u001b[49m(x\u001b[38;5;241m=\u001b[39mdata_freq\u001b[38;5;241m.\u001b[39mindex, y\u001b[38;5;241m=\u001b[39mdata_freq\u001b[38;5;241m.\u001b[39mfreq)\n\u001b[1;32m      3\u001b[0m fig\u001b[38;5;241m.\u001b[39mshow()\n",
      "\u001b[0;31mAttributeError\u001b[0m: module 'plotly.express' has no attribute 'Bar'"
     ]
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "fig = px.histogram(x=data_freq.index, y=data_freq.freq)\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "a58fd159-a0b3-4a82-958a-97a533ea8e59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "26207"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "a281efc1-ad22-4983-94e3-745fe50ed470",
   "metadata": {},
   "outputs": [],
   "source": [
    "import plotly.graph_objs as go"
   ]
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   "source": [
    "fig = go.Figure()\n",
    "fig.add_trace(go.Bar(x=list(data_freq.index), y=data_freq.freq.values))\n",
    "fig.update_traces(texttemplate='%{text:.2s}', textposition='outside')\n",
    "fig.update_layout(uniformtext_minsize=8, uniformtext_mode='hide')\n",
    "fig.show()"
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  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "b1a9a7bc-0c54-437a-90a6-69588e7eb334",
   "metadata": {},
   "outputs": [],
   "source": [
    "cor = df[df.columns[4:]].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "148d2648-3526-4813-9f17-cdc23327d3ed",
   "metadata": {},
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",
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       "            console.log([gd, 'removed!']);\n",
       "            Plotly.purge(gd);\n",
       "            observer.disconnect();\n",
       "        }}\n",
       "}});\n",
       "\n",
       "// Listen for the removal of the full notebook cells\n",
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     "metadata": {},
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    }
   ],
   "source": [
    "fig = go.Figure(data=go.Heatmap(\n",
    "                   z=cor.to_numpy(),\n",
    "                   x=df.columns[4:],\n",
    "                   y=df.columns[4:],\n",
    "                   hoverongaps = False))\n",
    "\n",
    "fig.update_layout(\n",
    "    xaxis_nticks=36,\n",
    "    yaxis_nticks=36,\n",
    "    width=1500,\n",
    "    height=1500,)\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9aa254bc-e971-43a8-9705-002a53129a46",
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.0</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>20317</th>\n",
       "      <td>23535</td>\n",
       "      <td>He said the government has provided a motorise...</td>\n",
       "      <td>None</td>\n",
       "      <td>news</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20488</th>\n",
       "      <td>23728</td>\n",
       "      <td>The Army has deployed a total of 72 columns in...</td>\n",
       "      <td>None</td>\n",
       "      <td>news</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22317</th>\n",
       "      <td>25732</td>\n",
       "      <td>With a CERF allocation of almost $1.7 million,...</td>\n",
       "      <td>None</td>\n",
       "      <td>news</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23373</th>\n",
       "      <td>26927</td>\n",
       "      <td>In this scenario, total housing financing need...</td>\n",
       "      <td>None</td>\n",
       "      <td>news</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25207</th>\n",
       "      <td>28979</td>\n",
       "      <td>Future missions may need to consider counter-t...</td>\n",
       "      <td>None</td>\n",
       "      <td>news</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>192 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id                                            message  \\\n",
       "117      146  Dans la zone de Saint Etienne la route de Jacm...   \n",
       "219      261  Hygienic . .. , mobile toilets, batteries, gen...   \n",
       "305      371  I am a surviver of the earthkaque see how you ...   \n",
       "460      563  I am located in Route Freres- Impasse Fortin. ...   \n",
       "576      698  Please people in Carrefour, Magloire Ambroide ...   \n",
       "...      ...                                                ...   \n",
       "20317  23535  He said the government has provided a motorise...   \n",
       "20488  23728  The Army has deployed a total of 72 columns in...   \n",
       "22317  25732  With a CERF allocation of almost $1.7 million,...   \n",
       "23373  26927  In this scenario, total housing financing need...   \n",
       "25207  28979  Future missions may need to consider counter-t...   \n",
       "\n",
       "                                                original   genre  related  \\\n",
       "117    Nan zon st. etine rout jakmel la bloke se mize...  direct      2.0   \n",
       "219    ERS HYGIENIQUES, TOILETTES MOBILES, BATTERIES,...  direct      2.0   \n",
       "305    Mwen se yon viktim nan katastrf ki sot pase a ...  direct      2.0   \n",
       "460    mou sou route fr impasse fortin pi wo maket gr...  direct      2.0   \n",
       "576    Sil te ple moun nan kafou fy, avni maglwa ambw...  direct      2.0   \n",
       "...                                                  ...     ...      ...   \n",
       "20317                                               None    news      2.0   \n",
       "20488                                               None    news      2.0   \n",
       "22317                                               None    news      2.0   \n",
       "23373                                               None    news      2.0   \n",
       "25207                                               None    news      2.0   \n",
       "\n",
       "       request  offer  aid_related  medical_help  medical_products  ...  \\\n",
       "117        0.0    0.0          0.0           0.0               0.0  ...   \n",
       "219        0.0    0.0          0.0           0.0               0.0  ...   \n",
       "305        0.0    0.0          0.0           0.0               0.0  ...   \n",
       "460        0.0    0.0          0.0           0.0               0.0  ...   \n",
       "576        0.0    0.0          0.0           0.0               0.0  ...   \n",
       "...        ...    ...          ...           ...               ...  ...   \n",
       "20317      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "20488      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "22317      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "23373      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "25207      0.0    0.0          0.0           0.0               0.0  ...   \n",
       "\n",
       "       aid_centers  other_infrastructure  weather_related  floods  storm  \\\n",
       "117            0.0                   0.0              0.0     0.0    0.0   \n",
       "219            0.0                   0.0              0.0     0.0    0.0   \n",
       "305            0.0                   0.0              0.0     0.0    0.0   \n",
       "460            0.0                   0.0              0.0     0.0    0.0   \n",
       "576            0.0                   0.0              0.0     0.0    0.0   \n",
       "...            ...                   ...              ...     ...    ...   \n",
       "20317          0.0                   0.0              0.0     0.0    0.0   \n",
       "20488          0.0                   0.0              0.0     0.0    0.0   \n",
       "22317          0.0                   0.0              0.0     0.0    0.0   \n",
       "23373          0.0                   0.0              0.0     0.0    0.0   \n",
       "25207          0.0                   0.0              0.0     0.0    0.0   \n",
       "\n",
       "       fire  earthquake  cold  other_weather  direct_report  \n",
       "117     0.0         0.0   0.0            0.0            0.0  \n",
       "219     0.0         0.0   0.0            0.0            0.0  \n",
       "305     0.0         0.0   0.0            0.0            0.0  \n",
       "460     0.0         0.0   0.0            0.0            0.0  \n",
       "576     0.0         0.0   0.0            0.0            0.0  \n",
       "...     ...         ...   ...            ...            ...  \n",
       "20317   0.0         0.0   0.0            0.0            0.0  \n",
       "20488   0.0         0.0   0.0            0.0            0.0  \n",
       "22317   0.0         0.0   0.0            0.0            0.0  \n",
       "23373   0.0         0.0   0.0            0.0            0.0  \n",
       "25207   0.0         0.0   0.0            0.0            0.0  \n",
       "\n",
       "[192 rows x 40 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"related\"]==2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e9a3c5fb-c049-4155-87af-db3e02d62f91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'related': 384.0,\n",
       " 'request': 0.0,\n",
       " 'offer': 0.0,\n",
       " 'aid_related': 0.0,\n",
       " 'medical_help': 0.0,\n",
       " 'medical_products': 0.0,\n",
       " 'search_and_rescue': 0.0,\n",
       " 'security': 0.0,\n",
       " 'military': 0.0,\n",
       " 'child_alone': 0.0,\n",
       " 'water': 0.0,\n",
       " 'food': 0.0,\n",
       " 'shelter': 0.0,\n",
       " 'clothing': 0.0,\n",
       " 'money': 0.0,\n",
       " 'missing_people': 0.0,\n",
       " 'refugees': 0.0,\n",
       " 'death': 0.0,\n",
       " 'other_aid': 0.0,\n",
       " 'infrastructure_related': 0.0,\n",
       " 'transport': 0.0,\n",
       " 'buildings': 0.0,\n",
       " 'electricity': 0.0,\n",
       " 'tools': 0.0,\n",
       " 'hospitals': 0.0,\n",
       " 'shops': 0.0,\n",
       " 'aid_centers': 0.0,\n",
       " 'other_infrastructure': 0.0,\n",
       " 'weather_related': 0.0,\n",
       " 'floods': 0.0,\n",
       " 'storm': 0.0,\n",
       " 'fire': 0.0,\n",
       " 'earthquake': 0.0,\n",
       " 'cold': 0.0,\n",
       " 'other_weather': 0.0,\n",
       " 'direct_report': 0.0}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "related_is_two = {}\n",
    "for col in df[df[\"related\"]==2].columns[4:]:\n",
    "    related_is_two.update({col: df[df[\"related\"]==2][col].sum()})\n",
    "related_is_two"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e393bdf6-6ec2-4fd8-8e3e-23afeb319d09",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_3217/3075608351.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df[df[\"related\"] == 2][\"related\"] = 1\n"
     ]
    }
   ],
   "source": [
    "df[df[\"related\"] == 2][\"related\"] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "61ee0bd7-e933-46f1-a9d7-08ecbf19b3b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df[df.loc[:, \"related\"] == 2] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7579ea0b-664d-4051-b998-a845b2d9a3f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(df.loc[:, \"related\"] == 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "e2e19493-14d1-4843-b99e-90ebe5460d8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "class StartingVerbExtractor(BaseEstimator, TransformerMixin):\n",
    "\n",
    "    def starting_verb(self, text):\n",
    "        sentence_list = nltk.sent_tokenize(text)\n",
    "        for sentence in sentence_list:\n",
    "            pos_tags = nltk.pos_tag(tokenize(sentence))\n",
    "            if len(pos_tags) >= 1:\n",
    "                first_word, first_tag = pos_tags[0]\n",
    "                if first_tag in ['VB', 'VBP'] or first_word == 'RT':\n",
    "                    return True\n",
    "        return False\n",
    "\n",
    "    def fit(self, x, y=None):\n",
    "        return self\n",
    "\n",
    "    def transform(self, X):\n",
    "        X_tagged = pd.Series(X).apply(self.starting_verb)\n",
    "        return pd.DataFrame(X_tagged)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0de54d98-1ded-4ee5-9266-6d131193f1b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def load_data(database_filepath: str):\n",
    "    \"\"\"\n",
    "    Load sqlite database\n",
    "    :param database_filepath: path to database file\n",
    "    :return: tuple of data features, target variable and category names\n",
    "    \"\"\"\n",
    "    engine = create_engine(f\"sqlite:///{database_filepath}\")\n",
    "    df = pd.read_sql_table(\"DisasterTweets\", engine)\n",
    "\n",
    "    # TODO: drop child_alone column as it seems we have no instances of it being positive in\n",
    "    #  dataset. Well do we want to do this?\n",
    "    x = df.message.values\n",
    "    y = df[df.columns[4:]].values\n",
    "    category_names = df[df.columns[4:]].columns\n",
    "\n",
    "    return x, y, category_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "d0c564e7-8a60-4e5c-b280-5df930d3f122",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package punkt to /home/jaf/nltk_data...\n",
      "[nltk_data]   Package punkt is already up-to-date!\n",
      "[nltk_data] Downloading package wordnet to /home/jaf/nltk_data...\n",
      "[nltk_data]   Package wordnet is already up-to-date!\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     /home/jaf/nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n",
      "[nltk_data] Downloading package omw-1.4 to /home/jaf/nltk_data...\n",
      "[nltk_data]   Package omw-1.4 is already up-to-date!\n",
      "[nltk_data] Downloading package stopwords to /home/jaf/nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    }
   ],
   "source": [
    "nltk.download([\"punkt\", \"wordnet\", \"averaged_perceptron_tagger\", \"omw-1.4\", \"stopwords\"])\n",
    "# set_loky_pickler(\"dill\")\n",
    "ENGLISH_STOPWORDS = stopwords.words(\"english\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "10da2bd3-8fda-4fb6-b4b9-aee41050b212",
   "metadata": {},
   "outputs": [],
   "source": [
    "x = df.message.values\n",
    "y = df[df.columns[4:]].values\n",
    "category_names = df[df.columns[4:]].columns\n",
    "X_train, X_test, Y_train, Y_test = train_test_split(x, y, test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ff085a7e-db48-4cd6-93a8-1a238aa1e3ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "starting_verb = StartingVerbExtractor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "270f7773-379b-498d-b518-ed7e98bce8f4",
   "metadata": {},
   "outputs": [],
   "source": [
    "vect = CountVectorizer(tokenizer=tokenize)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "310c7914-a3d6-4eeb-9802-c3f7e25dd212",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hot Food- 2 Trays of Egg Casseroles for either Saturday , Nov. 10th or Sunday , Nov. 11th in the morning . Please let me know when & where this would be most useful .'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7885eb9e-0778-4510-b2b7-65dca33c61b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CountVectorizer(tokenizer=<function tokenize at 0x7fb7723d9430>)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vect.fit(X_train[:2], Y_train[:2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "42ebee83-e239-4e37-83c7-a04092d0e94c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'analyzer': 'word',\n",
       " 'binary': False,\n",
       " 'decode_error': 'strict',\n",
       " 'dtype': numpy.int64,\n",
       " 'encoding': 'utf-8',\n",
       " 'input': 'content',\n",
       " 'lowercase': True,\n",
       " 'max_df': 1.0,\n",
       " 'max_features': None,\n",
       " 'min_df': 1,\n",
       " 'ngram_range': (1, 1),\n",
       " 'preprocessor': None,\n",
       " 'stop_words': None,\n",
       " 'strip_accents': None,\n",
       " 'token_pattern': '(?u)\\\\b\\\\w\\\\w+\\\\b',\n",
       " 'tokenizer': <function __main__.tokenize(text: str)>,\n",
       " 'vocabulary': None}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vect.get_params()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "efeefdda-0b02-47f2-9c52-ef3c96369707",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hot Food- 2 Trays of Egg Casseroles for either Saturday , Nov. 10th or Sunday , Nov. 11th in the morning . Please let me know when & where this would be most useful .'"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "71ad4936-4a0d-48e0-9536-4317993e0872",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['hot',\n",
       " 'food-',\n",
       " '2',\n",
       " 'trays',\n",
       " 'egg',\n",
       " 'casseroles',\n",
       " 'either',\n",
       " 'saturday',\n",
       " ',',\n",
       " 'nov.',\n",
       " '10th',\n",
       " 'sunday',\n",
       " ',',\n",
       " 'nov.',\n",
       " '11th',\n",
       " 'morning',\n",
       " '.',\n",
       " 'please',\n",
       " 'let',\n",
       " 'know',\n",
       " '&',\n",
       " 'would',\n",
       " 'useful',\n",
       " '.']"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tokens = word_tokenize(X_train[0].lower())\n",
    "tokens = [w for w in tokens if w not in ENGLISH_STOPWORDS]\n",
    "tokens          "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "084dfda3-db34-4370-947a-9105686c14fe",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['hot',\n",
       " 'food-',\n",
       " '2',\n",
       " 'tray',\n",
       " 'egg',\n",
       " 'casserole',\n",
       " 'either',\n",
       " 'saturday',\n",
       " ',',\n",
       " 'nov.',\n",
       " '10th',\n",
       " 'sunday',\n",
       " ',',\n",
       " 'nov.',\n",
       " '11th',\n",
       " 'morning',\n",
       " '.',\n",
       " 'please',\n",
       " 'let',\n",
       " 'know',\n",
       " '&',\n",
       " 'would',\n",
       " 'useful',\n",
       " '.']"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lemmatizer = WordNetLemmatizer()\n",
    "clean_tokens = []\n",
    "for tok in tokens:\n",
    "    clean_tok = lemmatizer.lemmatize(tok).strip()\n",
    "    clean_tokens.append(clean_tok)\n",
    "clean_tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "341c58fb-e0b4-46a2-983b-2916e59e40d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "def starting_verb(text):\n",
    "    sentence_list = nltk.sent_tokenize(text)\n",
    "    for sentence in sentence_list:\n",
    "        pos_tags = nltk.pos_tag(tokenize(sentence))\n",
    "        first_word, first_tag = pos_tags[0]\n",
    "        if first_tag in ['VB', 'VBP'] or first_word == 'RT':\n",
    "            return True\n",
    "    return False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "01d718c9-6523-4373-9436-5c71e295dd27",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('hot', 'JJ'),\n",
       " ('food-', 'JJ'),\n",
       " ('2', 'CD'),\n",
       " ('tray', 'NN'),\n",
       " ('egg', 'NN'),\n",
       " ('casserole', 'NN'),\n",
       " ('either', 'DT'),\n",
       " ('saturday', 'NN'),\n",
       " (',', ','),\n",
       " ('nov.', 'RB'),\n",
       " ('10th', 'CD'),\n",
       " ('sunday', 'NN'),\n",
       " (',', ','),\n",
       " ('nov.', 'JJ'),\n",
       " ('11th', 'CD'),\n",
       " ('morning', 'NN'),\n",
       " ('.', '.'),\n",
       " ('please', 'VB'),\n",
       " ('let', 'VB'),\n",
       " ('know', 'NNP'),\n",
       " ('&', 'CC'),\n",
       " ('would', 'MD'),\n",
       " ('useful', 'VB'),\n",
       " ('.', '.')]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pos_tags = nltk.pos_tag(clean_tokens)\n",
    "pos_tags"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1c74690a-57e0-42e2-bb72-bd3200a9b4e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hot JJ\n"
     ]
    }
   ],
   "source": [
    "first_word, first_tag = pos_tags[0]\n",
    "print(first_word, first_tag)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "7f583fea-9426-4318-92a1-4827358a4e38",
   "metadata": {},
   "outputs": [],
   "source": [
    "if first_tag in ['VB', 'VBP'] or first_word == 'RT':\n",
    "    print(\"yay\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "294c48eb-7f0d-4775-a596-02e0e9cc015b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def build_model():\n",
    "    \"\"\"\n",
    "    Build Multioutput classifier Random Forest classifier model pipeline and\n",
    "    run GridSearchCV to get optimised parameters\n",
    "    :return: model pipeline\n",
    "    \"\"\"\n",
    "    pipeline = Pipeline([\n",
    "        ('features', FeatureUnion([\n",
    "            ('text_pipeline', Pipeline([\n",
    "                ('vect', CountVectorizer(tokenizer=tokenize)),\n",
    "                ('tfidf', TfidfTransformer())\n",
    "            ])),\n",
    "            ('starting_verb', StartingVerbExtractor())\n",
    "        ])),\n",
    "    ])\n",
    "\n",
    "    return pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "6f39977a-8666-4e64-80b9-8a078a70748e",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = build_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "684b6ad6-431f-4c8f-9c3b-4973fcf8f62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "xtrain_transformed = model.fit_transform(X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "2cb347bb-53a6-43db-829f-f1a53f4fe9b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "hehe = xtrain_transformed[0].todok()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "144c942e-71cb-422c-b8cb-17826307e86e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_items([((0, 4), 0.16290834590954262), ((0, 99), 0.09223661496033192), ((0, 158), 0.0727482051333167), ((0, 517), 0.2413078157602939), ((0, 567), 0.255784980725053), ((0, 958), 0.15357692362254535), ((0, 5916), 0.28692044182057114), ((0, 9561), 0.24429380842586385), ((0, 9583), 0.2027367630248122), ((0, 11103), 0.27542926952138197), ((0, 13102), 0.18959877874562397), ((0, 15168), 0.11823808117804088), ((0, 15753), 0.16754572127006842), ((0, 17600), 0.15816020547701742), ((0, 18586), 0.4952637284558265), ((0, 20229), 0.10359922080665797), ((0, 23092), 0.1796737904402504), ((0, 25207), 0.17493935773134345), ((0, 26507), 0.255784980725053), ((0, 27456), 0.23177195097787598), ((0, 28555), 0.11130876601691377), ((0, 28999), 1.0)])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hehe.items()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5be3d559-b4b3-49db-9f6e-760d6baaba1d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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