lgbmclassifier-with-roberta.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "spoken-story",
   "metadata": {
    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "import nltk\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "piano-newcastle",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:06.870335Z",
     "iopub.status.busy": "2021-04-27T18:06:06.869310Z",
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     "shell.execute_reply": "2021-04-27T18:06:06.942529Z"
    },
    "papermill": {
     "duration": 0.132002,
     "end_time": "2021-04-27T18:06:06.942758",
     "exception": false,
     "start_time": "2021-04-27T18:06:06.810756",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train = pd.read_csv('../input/nlp-getting-started/train.csv')\n",
    "test = pd.read_csv('../input/nlp-getting-started/test.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "satisfied-aspect",
   "metadata": {
    "papermill": {
     "duration": 0.035477,
     "end_time": "2021-04-27T18:06:07.194666",
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     "start_time": "2021-04-27T18:06:07.159189",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Exploratory data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "secondary-calcium",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:07.317364Z",
     "iopub.status.busy": "2021-04-27T18:06:07.316495Z",
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     "shell.execute_reply": "2021-04-27T18:06:07.344503Z"
    },
    "papermill": {
     "duration": 0.096752,
     "end_time": "2021-04-27T18:06:07.344726",
     "exception": false,
     "start_time": "2021-04-27T18:06:07.247974",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training samples: 7613\n",
      "Test samples: 3263\n"
     ]
    },
    {
     "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>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": [
    "print(\"Training samples: {}\".format(train.shape[0]))\n",
    "print(\"Test samples: {}\".format(test.shape[0]))\n",
    "train.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "passive-messenger",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:07.472213Z",
     "iopub.status.busy": "2021-04-27T18:06:07.471120Z",
     "iopub.status.idle": "2021-04-27T18:06:07.552399Z",
     "shell.execute_reply": "2021-04-27T18:06:07.553385Z"
    },
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     "duration": 0.150654,
     "end_time": "2021-04-27T18:06:07.553970",
     "exception": false,
     "start_time": "2021-04-27T18:06:07.403316",
     "status": "completed"
    },
    "tags": []
   },
   "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": 5,
   "id": "conservative-provincial",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:07.747542Z",
     "iopub.status.busy": "2021-04-27T18:06:07.740458Z",
     "iopub.status.idle": "2021-04-27T18:06:07.984151Z",
     "shell.execute_reply": "2021-04-27T18:06:07.984737Z"
    },
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     "duration": 0.390505,
     "end_time": "2021-04-27T18:06:07.984978",
     "exception": false,
     "start_time": "2021-04-27T18:06:07.594473",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize= (10,7))\n",
    "sns.countplot(y= train['keyword'], order=train['keyword'].value_counts().iloc[:10].index)\n",
    "plt.title('Top 10 most keywords used on dataset')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "alpine-berry",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:08.073146Z",
     "iopub.status.busy": "2021-04-27T18:06:08.072129Z",
     "iopub.status.idle": "2021-04-27T18:06:08.340059Z",
     "shell.execute_reply": "2021-04-27T18:06:08.340629Z"
    },
    "papermill": {
     "duration": 0.31693,
     "end_time": "2021-04-27T18:06:08.340804",
     "exception": false,
     "start_time": "2021-04-27T18:06:08.023874",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize= (10,7))\n",
    "sns.countplot(y= train['location'], order=train['location'].value_counts().iloc[:10].index)\n",
    "plt.title('Top 10 most frequent places where tweets were published')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "handy-cleveland",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:08.433030Z",
     "iopub.status.busy": "2021-04-27T18:06:08.432243Z",
     "iopub.status.idle": "2021-04-27T18:06:08.455960Z",
     "shell.execute_reply": "2021-04-27T18:06:08.456553Z"
    },
    "papermill": {
     "duration": 0.074908,
     "end_time": "2021-04-27T18:06:08.456707",
     "exception": false,
     "start_time": "2021-04-27T18:06:08.381799",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count                                                  7613\n",
       "unique                                                 7503\n",
       "top       11-Year-Old Boy Charged With Manslaughter of T...\n",
       "freq                                                     10\n",
       "Name: text, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['text'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "defined-bradley",
   "metadata": {
    "papermill": {
     "duration": 0.039567,
     "end_time": "2021-04-27T18:06:08.536883",
     "exception": false,
     "start_time": "2021-04-27T18:06:08.497316",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Drop the columns with no iteration "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "judicial-appendix",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:08.626845Z",
     "iopub.status.busy": "2021-04-27T18:06:08.623859Z",
     "iopub.status.idle": "2021-04-27T18:06:08.630116Z",
     "shell.execute_reply": "2021-04-27T18:06:08.629560Z"
    },
    "papermill": {
     "duration": 0.052761,
     "end_time": "2021-04-27T18:06:08.630252",
     "exception": false,
     "start_time": "2021-04-27T18:06:08.577491",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train = train.drop(['keyword', 'location'], axis=1)\n",
    "test = test.drop(['keyword', 'location'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "agreed-brush",
   "metadata": {
    "papermill": {
     "duration": 0.040599,
     "end_time": "2021-04-27T18:06:08.712947",
     "exception": false,
     "start_time": "2021-04-27T18:06:08.672348",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Stopwords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "accepting-escape",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:08.799639Z",
     "iopub.status.busy": "2021-04-27T18:06:08.798963Z",
     "iopub.status.idle": "2021-04-27T18:06:08.803253Z",
     "shell.execute_reply": "2021-04-27T18:06:08.803963Z"
    },
    "papermill": {
     "duration": 0.050788,
     "end_time": "2021-04-27T18:06:08.804113",
     "exception": false,
     "start_time": "2021-04-27T18:06:08.753325",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def stopwords(text):\n",
    "    stopwords = set(nltk.corpus.stopwords.words('english'))\n",
    "    palavras = [i for i in text.split() if not i in stopwords]\n",
    "    return (\" \".join(palavras))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "comparable-bruce",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:08.889768Z",
     "iopub.status.busy": "2021-04-27T18:06:08.888972Z",
     "iopub.status.idle": "2021-04-27T18:06:10.809469Z",
     "shell.execute_reply": "2021-04-27T18:06:10.808829Z"
    },
    "papermill": {
     "duration": 1.966081,
     "end_time": "2021-04-27T18:06:10.809905",
     "exception": false,
     "start_time": "2021-04-27T18:06:08.843824",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train['text'] = [stopwords(i) for i in train['text']]\n",
    "train['text'][:10]\n",
    "\n",
    "# applying to test\n",
    "test['text'] = [stopwords(i) for i in test['text']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "labeled-thousand",
   "metadata": {
    "papermill": {
     "duration": 0.041546,
     "end_time": "2021-04-27T18:06:10.892143",
     "exception": false,
     "start_time": "2021-04-27T18:06:10.850597",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Removing caracters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "painted-horizontal",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:10.981575Z",
     "iopub.status.busy": "2021-04-27T18:06:10.980508Z",
     "iopub.status.idle": "2021-04-27T18:06:10.984196Z",
     "shell.execute_reply": "2021-04-27T18:06:10.983641Z"
    },
    "papermill": {
     "duration": 0.05108,
     "end_time": "2021-04-27T18:06:10.984328",
     "exception": false,
     "start_time": "2021-04-27T18:06:10.933248",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "def remove_carac(text):\n",
    "    text = text.str.lower() \n",
    "    text = text.str.replace(r\"\\#\",\"\") \n",
    "    text = text.str.replace(r\"http\\S+\",\"\")  \n",
    "    text = text.str.replace(r\"@\",\"\")\n",
    "    text = text.str.replace(r\"[^a-zA-Z#]\", \" \")\n",
    "    text = text.str.replace(\"\\s{2,}\", \"\")\n",
    "    return text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "funky-capacity",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:11.092991Z",
     "iopub.status.busy": "2021-04-27T18:06:11.083943Z",
     "iopub.status.idle": "2021-04-27T18:06:11.241667Z",
     "shell.execute_reply": "2021-04-27T18:06:11.242213Z"
    },
    "papermill": {
     "duration": 0.216484,
     "end_time": "2021-04-27T18:06:11.242414",
     "exception": false,
     "start_time": "2021-04-27T18:06:11.025930",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     our deeds reason earthquake may allah forgive us\n",
       "1                 forest fire near la ronge saskcanada\n",
       "2    all residents askedshelter placenotified offic...\n",
       "3    people receive wildfires evacuation orders cal...\n",
       "4    just got sent photo ruby alaska smoke wildfire...\n",
       "5    rockyfire updatecalifornia hwyclosed direction...\n",
       "6    flood disaster heavy rain causes flash floodin...\n",
       "7                        i m top hill i see fire woods\n",
       "8    there s emergency evacuation happening buildin...\n",
       "9                       i m afraid tornado coming area\n",
       "Name: clean_text, dtype: object"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['clean_text'] = remove_carac(train['text'])\n",
    "\n",
    "# applying to test\n",
    "test['clean_text'] = remove_carac(test['text'])\n",
    "\n",
    "train['clean_text'][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "reasonable-preserve",
   "metadata": {
    "papermill": {
     "duration": 0.041189,
     "end_time": "2021-04-27T18:06:11.325709",
     "exception": false,
     "start_time": "2021-04-27T18:06:11.284520",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Lemmatization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "found-combine",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:11.416371Z",
     "iopub.status.busy": "2021-04-27T18:06:11.415312Z",
     "iopub.status.idle": "2021-04-27T18:06:11.418724Z",
     "shell.execute_reply": "2021-04-27T18:06:11.418118Z"
    },
    "papermill": {
     "duration": 0.0509,
     "end_time": "2021-04-27T18:06:11.418857",
     "exception": false,
     "start_time": "2021-04-27T18:06:11.367957",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from nltk.stem import WordNetLemmatizer\n",
    "\n",
    "lem = WordNetLemmatizer()\n",
    "\n",
    "def lemmatization(texto):\n",
    "    palavras = []\n",
    "    for w in texto.split():\n",
    "        palavras.append(lem.lemmatize(w))\n",
    "    return (\" \".join(palavras))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "decreased-example",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:11.508076Z",
     "iopub.status.busy": "2021-04-27T18:06:11.507252Z",
     "iopub.status.idle": "2021-04-27T18:06:14.213667Z",
     "shell.execute_reply": "2021-04-27T18:06:14.213038Z"
    },
    "papermill": {
     "duration": 2.753318,
     "end_time": "2021-04-27T18:06:14.213838",
     "exception": false,
     "start_time": "2021-04-27T18:06:11.460520",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "train['clean_text'] = [lemmatization(f) for f in train['clean_text']]\n",
    "train['clean_text'][:10]\n",
    "\n",
    "# Applying to test\n",
    "test['clean_text'] = [lemmatization(f) for f in test['clean_text']]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "marked-potential",
   "metadata": {
    "papermill": {
     "duration": 0.042558,
     "end_time": "2021-04-27T18:06:14.298890",
     "exception": false,
     "start_time": "2021-04-27T18:06:14.256332",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Stemming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "african-appreciation",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:14.390992Z",
     "iopub.status.busy": "2021-04-27T18:06:14.389992Z",
     "iopub.status.idle": "2021-04-27T18:06:14.393654Z",
     "shell.execute_reply": "2021-04-27T18:06:14.393107Z"
    },
    "papermill": {
     "duration": 0.052006,
     "end_time": "2021-04-27T18:06:14.393814",
     "exception": false,
     "start_time": "2021-04-27T18:06:14.341808",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from nltk.stem.snowball import SnowballStemmer\n",
    "\n",
    "def stemming(texto):\n",
    "    stemmer = SnowballStemmer(language='english')\n",
    "    palavras = []\n",
    "    for w in texto.split():\n",
    "        palavras.append(stemmer.stem(w))\n",
    "    return (\" \".join(palavras))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "sixth-andrew",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:14.507528Z",
     "iopub.status.busy": "2021-04-27T18:06:14.497381Z",
     "iopub.status.idle": "2021-04-27T18:06:16.179388Z",
     "shell.execute_reply": "2021-04-27T18:06:16.180037Z"
    },
    "papermill": {
     "duration": 1.743285,
     "end_time": "2021-04-27T18:06:16.180246",
     "exception": false,
     "start_time": "2021-04-27T18:06:14.436961",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0         our deed reason earthquak may allah forgiv u\n",
       "1                  forest fire near la rong saskcanada\n",
       "2    all resid askedshelt placenotifi officersno ev...\n",
       "3          peopl receiv wildfir evacu order california\n",
       "4    just got sent photo rubi alaska smoke wildfir ...\n",
       "5    rockyfir updatecalifornia hwyclos direct due l...\n",
       "6    flood disast heavi rain caus flash flood stree...\n",
       "7                         i m top hill i see fire wood\n",
       "8       there s emerg evacu happen build across street\n",
       "9                         i m afraid tornado come area\n",
       "Name: clean_text, dtype: object"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['clean_text'] = [stemming(t) for t in train['clean_text']]\n",
    "\n",
    "# applying to test\n",
    "test['clean_text'] = [stemming(t) for t in test['clean_text']]\n",
    "\n",
    "train['clean_text'][:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fiscal-candle",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:16.277761Z",
     "iopub.status.busy": "2021-04-27T18:06:16.276369Z",
     "iopub.status.idle": "2021-04-27T18:06:16.280975Z",
     "shell.execute_reply": "2021-04-27T18:06:16.281675Z"
    },
    "papermill": {
     "duration": 0.05899,
     "end_time": "2021-04-27T18:06:16.281895",
     "exception": false,
     "start_time": "2021-04-27T18:06:16.222905",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# droping the 'text' column and organizing\n",
    "train = train.drop(['text'], axis=1)\n",
    "train = train.reindex(columns=['clean_text', 'target'])\n",
    "\n",
    "test = test.drop(['text'], axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "acute-mount",
   "metadata": {
    "papermill": {
     "duration": 0.043116,
     "end_time": "2021-04-27T18:06:16.368255",
     "exception": false,
     "start_time": "2021-04-27T18:06:16.325139",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Ploting the frequecy words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "driven-cyprus",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:16.483674Z",
     "iopub.status.busy": "2021-04-27T18:06:16.478538Z",
     "iopub.status.idle": "2021-04-27T18:06:16.504329Z",
     "shell.execute_reply": "2021-04-27T18:06:16.504856Z"
    },
    "papermill": {
     "duration": 0.094267,
     "end_time": "2021-04-27T18:06:16.505025",
     "exception": false,
     "start_time": "2021-04-27T18:06:16.410758",
     "status": "completed"
    },
    "tags": []
   },
   "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>clean_text</th>\n",
       "      <th>target</th>\n",
       "      <th>id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>deed reason earthquak allah forgiv</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>forest fire near rong saskcanada</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>resid askedshelt placenotifi officersno evacu ...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>peopl receiv wildfir evacu order california</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>just sent photo rubi alaska smoke wildfir pour...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          clean_text  target  id\n",
       "0                 deed reason earthquak allah forgiv     1.0 NaN\n",
       "1                   forest fire near rong saskcanada     1.0 NaN\n",
       "2  resid askedshelt placenotifi officersno evacu ...     1.0 NaN\n",
       "3        peopl receiv wildfir evacu order california     1.0 NaN\n",
       "4  just sent photo rubi alaska smoke wildfir pour...     1.0 NaN"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# concat the train and test dataset first\n",
    "df = pd.concat([train,test], ignore_index=True)\n",
    "\n",
    "# droping the words with less than 3 letters for plot\n",
    "df['clean_text'] = df['clean_text'].apply(lambda x: ' '.join([w for w in x.split() if len(w)>3]))\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "modern-diesel",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:16.597474Z",
     "iopub.status.busy": "2021-04-27T18:06:16.596581Z",
     "iopub.status.idle": "2021-04-27T18:06:19.270774Z",
     "shell.execute_reply": "2021-04-27T18:06:19.271477Z"
    },
    "papermill": {
     "duration": 2.724288,
     "end_time": "2021-04-27T18:06:19.271669",
     "exception": false,
     "start_time": "2021-04-27T18:06:16.547381",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using the WordCloud to see the frequency of the words\n",
    "from wordcloud import WordCloud\n",
    "\n",
    "palavras = ' '.join([text for text in df['clean_text']])\n",
    "\n",
    "wordcloud = WordCloud(width=800, height = 500, max_font_size=110).generate(palavras)\n",
    "\n",
    "# plotting\n",
    "plt.figure(figsize=(10,7))\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis('off')\n",
    "\n",
    "fig1 = plt.gcf()\n",
    "fig1.savefig('words.png')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "functioning-begin",
   "metadata": {
    "papermill": {
     "duration": 0.048791,
     "end_time": "2021-04-27T18:06:19.370162",
     "exception": false,
     "start_time": "2021-04-27T18:06:19.321371",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Tokenizer and Vectorization with roBERTa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "related-luther",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:19.472681Z",
     "iopub.status.busy": "2021-04-27T18:06:19.471860Z",
     "iopub.status.idle": "2021-04-27T18:06:21.009179Z",
     "shell.execute_reply": "2021-04-27T18:06:21.008172Z"
    },
    "papermill": {
     "duration": 1.590342,
     "end_time": "2021-04-27T18:06:21.009339",
     "exception": false,
     "start_time": "2021-04-27T18:06:19.418997",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "import transformers\n",
    "import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "curious-jacob",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:21.117219Z",
     "iopub.status.busy": "2021-04-27T18:06:21.115218Z",
     "iopub.status.idle": "2021-04-27T18:06:21.118475Z",
     "shell.execute_reply": "2021-04-27T18:06:21.118998Z"
    },
    "papermill": {
     "duration": 0.060182,
     "end_time": "2021-04-27T18:06:21.119161",
     "exception": false,
     "start_time": "2021-04-27T18:06:21.058979",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# changing the device to GPU\n",
    "device = torch.device('cuda:0')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "greater-theory",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:21.222234Z",
     "iopub.status.busy": "2021-04-27T18:06:21.221426Z",
     "iopub.status.idle": "2021-04-27T18:06:56.206997Z",
     "shell.execute_reply": "2021-04-27T18:06:56.206254Z"
    },
    "papermill": {
     "duration": 35.039296,
     "end_time": "2021-04-27T18:06:56.207152",
     "exception": false,
     "start_time": "2021-04-27T18:06:21.167856",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1b42e595cc9c4a2d88e14f35d66565ba",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          | 0.00/481 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f702e9d0a4bb485db52276e2411eb7be",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          | 0.00/501M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "40f80b107660480ea641b614e998e4fb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          | 0.00/899k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6be569ebac2c44b2a25d01209e74062d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          | 0.00/456k [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6315b5d02a7b4073a0f58154be1aa745",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading:   0%|          | 0.00/1.36M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# using the roBERTa model\n",
    "roberta_weights = 'roberta-base'\n",
    "roberta_model = transformers.RobertaModel.from_pretrained(roberta_weights).to(device)\n",
    "roberta_token = transformers.RobertaTokenizer.from_pretrained(roberta_weights)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "great-talent",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:06:56.320011Z",
     "iopub.status.busy": "2021-04-27T18:06:56.318934Z",
     "iopub.status.idle": "2021-04-27T18:07:01.080098Z",
     "shell.execute_reply": "2021-04-27T18:07:01.079513Z"
    },
    "papermill": {
     "duration": 4.819196,
     "end_time": "2021-04-27T18:07:01.080265",
     "exception": false,
     "start_time": "2021-04-27T18:06:56.261069",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# tokenizing the clean_text column on train dataset\n",
    "tokenized = [torch.tensor(roberta_token.encode(i)).unsqueeze(0).to(device) for i in train['clean_text']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "metropolitan-description",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:07:01.270706Z",
     "iopub.status.busy": "2021-04-27T18:07:01.269614Z",
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     "shell.execute_reply": "2021-04-27T18:09:30.893936Z"
    },
    "papermill": {
     "duration": 149.750655,
     "end_time": "2021-04-27T18:09:30.894856",
     "exception": false,
     "start_time": "2021-04-27T18:07:01.144201",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "91923105eabe43e3b8c8212d57d64794",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/7613 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "embeddings = []\n",
    "\n",
    "roberta_model.eval()  # the eval lock the model and stop training\n",
    "with torch.no_grad(): # aplying non-training to torch\n",
    "    for x in tqdm.notebook.tqdm(tokenized):  # tqdm is a progress bar\n",
    "        embeddings.append(roberta_model(x)[1].cpu().numpy())  # changing the device to cpu for interation with sklearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "moving-definition",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:31.008927Z",
     "iopub.status.busy": "2021-04-27T18:09:31.007622Z",
     "iopub.status.idle": "2021-04-27T18:09:31.028221Z",
     "shell.execute_reply": "2021-04-27T18:09:31.027648Z"
    },
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     "duration": 0.079801,
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     "exception": false,
     "start_time": "2021-04-27T18:09:30.948588",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7613, 768)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# transforming the embeddings list to a array of arrays\n",
    "embeddings_numpy = np.array(embeddings).squeeze()\n",
    "\n",
    "embeddings_numpy.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "corporate-lingerie",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:31.142137Z",
     "iopub.status.busy": "2021-04-27T18:09:31.141091Z",
     "iopub.status.idle": "2021-04-27T18:09:31.144579Z",
     "shell.execute_reply": "2021-04-27T18:09:31.143926Z"
    },
    "papermill": {
     "duration": 0.061589,
     "end_time": "2021-04-27T18:09:31.144708",
     "exception": false,
     "start_time": "2021-04-27T18:09:31.083119",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# defining the features and target\n",
    "X = embeddings_numpy\n",
    "y = train['target']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "descending-western",
   "metadata": {
    "papermill": {
     "duration": 0.053426,
     "end_time": "2021-04-27T18:09:31.251076",
     "exception": false,
     "start_time": "2021-04-27T18:09:31.197650",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "boxed-identifier",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:31.365116Z",
     "iopub.status.busy": "2021-04-27T18:09:31.363835Z",
     "iopub.status.idle": "2021-04-27T18:09:31.380592Z",
     "shell.execute_reply": "2021-04-27T18:09:31.379953Z"
    },
    "papermill": {
     "duration": 0.076071,
     "end_time": "2021-04-27T18:09:31.380775",
     "exception": false,
     "start_time": "2021-04-27T18:09:31.304704",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_valid, y_train, y_valid = train_test_split(X, y, test_size=0.5, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "mature-haven",
   "metadata": {
    "papermill": {
     "duration": 0.053777,
     "end_time": "2021-04-27T18:09:31.487982",
     "exception": false,
     "start_time": "2021-04-27T18:09:31.434205",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Cross Validation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "expanded-macro",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:31.604942Z",
     "iopub.status.busy": "2021-04-27T18:09:31.603611Z",
     "iopub.status.idle": "2021-04-27T18:09:31.749706Z",
     "shell.execute_reply": "2021-04-27T18:09:31.749134Z"
    },
    "papermill": {
     "duration": 0.208861,
     "end_time": "2021-04-27T18:09:31.749869",
     "exception": false,
     "start_time": "2021-04-27T18:09:31.541008",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import RepeatedKFold\n",
    "\n",
    "kf = RepeatedKFold(n_splits= 2, n_repeats=10, random_state=42)\n",
    "\n",
    "\n",
    "for train_lines, valid_lines in kf.split(X):\n",
    "    X_train, X_valid = X[train_lines], X[valid_lines]\n",
    "    y_train, y_valid = y[train_lines], y[valid_lines]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "historic-installation",
   "metadata": {
    "papermill": {
     "duration": 0.053492,
     "end_time": "2021-04-27T18:09:31.857530",
     "exception": false,
     "start_time": "2021-04-27T18:09:31.804038",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Building the LGBM model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "relevant-float",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:31.970405Z",
     "iopub.status.busy": "2021-04-27T18:09:31.969727Z",
     "iopub.status.idle": "2021-04-27T18:09:47.879405Z",
     "shell.execute_reply": "2021-04-27T18:09:47.880357Z"
    },
    "papermill": {
     "duration": 15.970785,
     "end_time": "2021-04-27T18:09:47.880725",
     "exception": false,
     "start_time": "2021-04-27T18:09:31.909940",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type='text/css'>\n",
       ".datatable table.frame { margin-bottom: 0; }\n",
       ".datatable table.frame thead { border-bottom: none; }\n",
       ".datatable table.frame tr.coltypes td {  color: #FFFFFF;  line-height: 6px;  padding: 0 0.5em;}\n",
       ".datatable .bool    { background: #DDDD99; }\n",
       ".datatable .object  { background: #565656; }\n",
       ".datatable .int     { background: #5D9E5D; }\n",
       ".datatable .float   { background: #4040CC; }\n",
       ".datatable .str     { background: #CC4040; }\n",
       ".datatable .row_index {  background: var(--jp-border-color3);  border-right: 1px solid var(--jp-border-color0);  color: var(--jp-ui-font-color3);  font-size: 9px;}\n",
       ".datatable .frame tr.coltypes .row_index {  background: var(--jp-border-color0);}\n",
       ".datatable th:nth-child(2) { padding-left: 12px; }\n",
       ".datatable .hellipsis {  color: var(--jp-cell-editor-border-color);}\n",
       ".datatable .vellipsis {  background: var(--jp-layout-color0);  color: var(--jp-cell-editor-border-color);}\n",
       ".datatable .na {  color: var(--jp-cell-editor-border-color);  font-size: 80%;}\n",
       ".datatable .footer { font-size: 9px; }\n",
       ".datatable .frame_dimensions {  background: var(--jp-border-color3);  border-top: 1px solid var(--jp-border-color0);  color: var(--jp-ui-font-color3);  display: inline-block;  opacity: 0.6;  padding: 1px 10px 1px 5px;}\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.77      0.83      0.80      2152\n",
      "           1       0.76      0.68      0.72      1654\n",
      "\n",
      "    accuracy                           0.77      3806\n",
      "   macro avg       0.77      0.76      0.76      3806\n",
      "weighted avg       0.77      0.77      0.77      3806\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "from lightgbm import LGBMClassifier\n",
    "\n",
    "lgbm = LGBMClassifier(boosting_type= 'gbdt', objective='binary', learning_rate= 0.1, random_state=42, class_weight='balanced', num_leaves=32)\n",
    "lgbm.fit(X_train, y_train)\n",
    "\n",
    "print(classification_report(y_valid, lgbm.predict(X_valid)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "restricted-rough",
   "metadata": {
    "papermill": {
     "duration": 0.053908,
     "end_time": "2021-04-27T18:09:47.989716",
     "exception": false,
     "start_time": "2021-04-27T18:09:47.935808",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Confusion Matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "imported-juvenile",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:48.111788Z",
     "iopub.status.busy": "2021-04-27T18:09:48.110749Z",
     "iopub.status.idle": "2021-04-27T18:09:48.113888Z",
     "shell.execute_reply": "2021-04-27T18:09:48.114578Z"
    },
    "papermill": {
     "duration": 0.070343,
     "end_time": "2021-04-27T18:09:48.114748",
     "exception": false,
     "start_time": "2021-04-27T18:09:48.044405",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import itertools\n",
    "\n",
    "def plot_confusion_matrix(cm, target_names, title='Confusion matrix', cmap=None, normalize=True):\n",
    "    accuracy = np.trace(cm) / float(np.sum(cm))\n",
    "    misclass = 1 - accuracy\n",
    "    if cmap is None:\n",
    "        cmap = plt.get_cmap('Blues')\n",
    "    plt.figure(figsize=(10, 7))\n",
    "    plt.imshow(cm, interpolation='nearest', cmap=cmap)\n",
    "    plt.title(title)\n",
    "    plt.colorbar()\n",
    "    if target_names is not None:\n",
    "        tick_marks = np.arange(len(target_names))\n",
    "        plt.xticks(tick_marks, target_names, rotation=45)\n",
    "        plt.yticks(tick_marks, target_names)\n",
    "    if normalize:\n",
    "        cm = cm.astype('float') / cm.sum(axis=1)[:, np.newaxis]\n",
    "    thresh = cm.max() / 1.5 if normalize else cm.max() / 2\n",
    "    for i, j in itertools.product(range(cm.shape[0]), range(cm.shape[1])):\n",
    "        if normalize:\n",
    "            plt.text(j, i, \"{:0.4f}\".format(cm[i, j]),\n",
    "                     horizontalalignment=\"center\",\n",
    "                     color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "        else:\n",
    "            plt.text(j, i, \"{:,}\".format(cm[i, j]),\n",
    "                     horizontalalignment=\"center\",\n",
    "                     color=\"white\" if cm[i, j] > thresh else \"black\")\n",
    "    plt.tight_layout()\n",
    "    plt.ylabel('True label')\n",
    "    plt.xlabel('Predicted label\\naccuracy={:0.4f}; misclass={:0.4f}'.format(accuracy, misclass))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "numeric-effort",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:48.229321Z",
     "iopub.status.busy": "2021-04-27T18:09:48.227983Z",
     "iopub.status.idle": "2021-04-27T18:09:48.600530Z",
     "shell.execute_reply": "2021-04-27T18:09:48.601058Z"
    },
    "papermill": {
     "duration": 0.432751,
     "end_time": "2021-04-27T18:09:48.601237",
     "exception": false,
     "start_time": "2021-04-27T18:09:48.168486",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "y_pred = lgbm.predict(X_valid)\n",
    "\n",
    "plot_confusion_matrix(confusion_matrix(y_valid, y_pred), ['Disaster', 'Not_disaster'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "everyday-bradley",
   "metadata": {
    "papermill": {
     "duration": 0.055294,
     "end_time": "2021-04-27T18:09:48.713385",
     "exception": false,
     "start_time": "2021-04-27T18:09:48.658091",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## Test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "occasional-serbia",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:48.831818Z",
     "iopub.status.busy": "2021-04-27T18:09:48.831164Z",
     "iopub.status.idle": "2021-04-27T18:09:50.658165Z",
     "shell.execute_reply": "2021-04-27T18:09:50.657121Z"
    },
    "papermill": {
     "duration": 1.888374,
     "end_time": "2021-04-27T18:09:50.658380",
     "exception": false,
     "start_time": "2021-04-27T18:09:48.770006",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "tokenized_test = [torch.tensor(roberta_token.encode(i)).unsqueeze(0).to(device) for i in test['clean_text']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "standard-spouse",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:09:50.807005Z",
     "iopub.status.busy": "2021-04-27T18:09:50.806326Z",
     "iopub.status.idle": "2021-04-27T18:10:53.449918Z",
     "shell.execute_reply": "2021-04-27T18:10:53.449219Z"
    },
    "papermill": {
     "duration": 62.735581,
     "end_time": "2021-04-27T18:10:53.450087",
     "exception": false,
     "start_time": "2021-04-27T18:09:50.714506",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "eeb35adec72d434292ee568940323474",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3263 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_embeddings = []\n",
    "\n",
    "roberta_model.eval()  # the eval lock the model and stop training\n",
    "with torch.no_grad(): # aplying non-training to torch\n",
    "    for x in tqdm.notebook.tqdm(tokenized_test):  # tqdm is a progress bar\n",
    "        test_embeddings.append(roberta_model(x)[1].cpu().numpy())  # changing the device to cpu for interation with sklearn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "authorized-packet",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:10:53.568992Z",
     "iopub.status.busy": "2021-04-27T18:10:53.567761Z",
     "iopub.status.idle": "2021-04-27T18:10:53.578838Z",
     "shell.execute_reply": "2021-04-27T18:10:53.578327Z"
    },
    "papermill": {
     "duration": 0.072648,
     "end_time": "2021-04-27T18:10:53.578983",
     "exception": false,
     "start_time": "2021-04-27T18:10:53.506335",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3263, 768)"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_embeddings_numpy = np.array(test_embeddings).squeeze()\n",
    "\n",
    "test_embeddings_numpy.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "visible-mambo",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2021-04-27T18:10:53.697154Z",
     "iopub.status.busy": "2021-04-27T18:10:53.696034Z",
     "iopub.status.idle": "2021-04-27T18:10:53.750191Z",
     "shell.execute_reply": "2021-04-27T18:10:53.750713Z"
    },
    "papermill": {
     "duration": 0.115605,
     "end_time": "2021-04-27T18:10:53.750877",
     "exception": false,
     "start_time": "2021-04-27T18:10:53.635272",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# predicting the test\n",
    "features = test_embeddings_numpy\n",
    "\n",
    "pred = lgbm.predict(features)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "maritime-damages",
   "metadata": {
    "papermill": {
     "duration": 0.057095,
     "end_time": "2021-04-27T18:10:53.866117",
     "exception": false,
     "start_time": "2021-04-27T18:10:53.809022",
     "status": "completed"
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    "tags": []
   },
   "source": [
    "# Transforming to Series for submission"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "applied-hampshire",
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    "execution": {
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   },
   "outputs": [],
   "source": [
    "sample_submission = pd.read_csv('../input/nlp-getting-started/sample_submission.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "competitive-dragon",
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     "exception": false,
     "start_time": "2021-04-27T18:10:54.056627",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3263,)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sample_submission['target'].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "split-elephant",
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    "execution": {
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     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2021\n",
       "1    1242\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 38,
     "metadata": {},
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    }
   ],
   "source": [
    "sample_submission['target'] = pred\n",
    "sample_submission['target'].value_counts()"
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  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "appreciated-dairy",
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   "outputs": [],
   "source": [
    "sample_submission.to_csv('submission.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "front-respondent",
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   },
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "id,target\r\n",
      "0,0\r\n",
      "2,1\r\n",
      "3,1\r\n",
      "9,1\r\n",
      "11,1\r\n",
      "12,0\r\n",
      "21,0\r\n",
      "22,0\r\n",
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   ],
   "source": [
    "!head -n10 submission.csv"
   ]
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