nlp-with-disaster-tweets-by-using-lstm.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/guisira/nlp-with-disaster-tweets-by-using-lstm?scriptVersionId=92523851\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown","outputs":[],"execution_count":0},{"cell_type":"code","execution_count":1,"id":"5a9b5ac1","metadata":{"_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","execution":{"iopub.execute_input":"2022-04-09T09:00:18.115179Z","iopub.status.busy":"2022-04-09T09:00:18.113991Z","iopub.status.idle":"2022-04-09T09:00:18.130126Z","shell.execute_reply":"2022-04-09T09:00:18.130686Z","shell.execute_reply.started":"2022-04-09T07:57:59.763419Z"},"papermill":{"duration":0.099328,"end_time":"2022-04-09T09:00:18.131","exception":false,"start_time":"2022-04-09T09:00:18.031672","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["/kaggle/input/glove6b100dtxt/glove.6B.100d.txt\n","/kaggle/input/nlp-getting-started/sample_submission.csv\n","/kaggle/input/nlp-getting-started/train.csv\n","/kaggle/input/nlp-getting-started/test.csv\n"]}],"source":["# This Python 3 environment comes with many helpful analytics libraries installed\n","# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n","# For example, here's several helpful packages to load\n","\n","import numpy as np # linear algebra\n","import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n","\n","# Input data files are available in the read-only \"../input/\" directory\n","# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n","\n","import os\n","for dirname, _, filenames in os.walk('/kaggle/input'):\n","    for filename in filenames:\n","        print(os.path.join(dirname, filename))\n","\n","# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n","# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"]},{"cell_type":"markdown","id":"9a36a4c6","metadata":{"papermill":{"duration":0.078195,"end_time":"2022-04-09T09:00:18.294043","exception":false,"start_time":"2022-04-09T09:00:18.215848","status":"completed"},"tags":[]},"source":["## Import library "]},{"cell_type":"code","execution_count":2,"id":"649ae5e3","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:18.451159Z","iopub.status.busy":"2022-04-09T09:00:18.450444Z","iopub.status.idle":"2022-04-09T09:00:28.152458Z","shell.execute_reply":"2022-04-09T09:00:28.153034Z","shell.execute_reply.started":"2022-04-09T07:57:59.783507Z"},"papermill":{"duration":9.782839,"end_time":"2022-04-09T09:00:28.153209","exception":false,"start_time":"2022-04-09T09:00:18.37037","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["[nltk_data] Downloading package stopwords to /usr/share/nltk_data...\n","[nltk_data]   Package stopwords is already up-to-date!\n"]}],"source":["import csv\n","import string \n","import random\n","import numpy as np\n","import pandas as pd\n","import plotly.express as px\n","from sklearn import preprocessing, decomposition, model_selection, metrics, pipeline\n","from sklearn.model_selection import train_test_split\n","import tensorflow as tf\n","from tensorflow.keras.preprocessing.text import Tokenizer\n","from tensorflow.keras.preprocessing.sequence import pad_sequences\n","import matplotlib.pyplot as plt\n","from scipy.stats import linregress\n","from nltk import corpus\n","import re\n","import nltk \n","nltk.download('stopwords')\n","from nltk.corpus import stopwords \n","from nltk.stem.snowball import SnowballStemmer\n","import seaborn as sns\n","from collections import Counter\n","from PIL import Image\n","from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n","# %matplotlib inline"]},{"cell_type":"markdown","id":"62d03468","metadata":{"papermill":{"duration":0.076904,"end_time":"2022-04-09T09:00:28.308189","exception":false,"start_time":"2022-04-09T09:00:28.231285","status":"completed"},"tags":[]},"source":["# Sentiment Extaction-Analysis EDA "]},{"cell_type":"code","execution_count":3,"id":"0e565518","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:28.469255Z","iopub.status.busy":"2022-04-09T09:00:28.468505Z","iopub.status.idle":"2022-04-09T09:00:28.517166Z","shell.execute_reply":"2022-04-09T09:00:28.51774Z","shell.execute_reply.started":"2022-04-09T07:57:59.795986Z"},"papermill":{"duration":0.129843,"end_time":"2022-04-09T09:00:28.517941","exception":false,"start_time":"2022-04-09T09:00:28.388098","status":"completed"},"tags":[]},"outputs":[],"source":["df_train = pd.read_csv(\"/kaggle/input/nlp-getting-started/train.csv\")"]},{"cell_type":"code","execution_count":4,"id":"24b3b7cc","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:28.676169Z","iopub.status.busy":"2022-04-09T09:00:28.675427Z","iopub.status.idle":"2022-04-09T09:00:28.681005Z","shell.execute_reply":"2022-04-09T09:00:28.680469Z","shell.execute_reply.started":"2022-04-09T07:57:59.83553Z"},"papermill":{"duration":0.085307,"end_time":"2022-04-09T09:00:28.681153","exception":false,"start_time":"2022-04-09T09:00:28.595846","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["(7613, 5)\n"]}],"source":["print(df_train.shape)"]},{"cell_type":"code","execution_count":5,"id":"e1d42344","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:28.849994Z","iopub.status.busy":"2022-04-09T09:00:28.849203Z","iopub.status.idle":"2022-04-09T09:00:28.874372Z","shell.execute_reply":"2022-04-09T09:00:28.873524Z","shell.execute_reply.started":"2022-04-09T07:57:59.843573Z"},"papermill":{"duration":0.11447,"end_time":"2022-04-09T09:00:28.87465","exception":false,"start_time":"2022-04-09T09:00:28.76018","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":["df_train.info()"]},{"cell_type":"code","execution_count":6,"id":"7998fa87","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:29.05277Z","iopub.status.busy":"2022-04-09T09:00:29.051716Z","iopub.status.idle":"2022-04-09T09:00:29.06056Z","shell.execute_reply":"2022-04-09T09:00:29.059928Z","shell.execute_reply.started":"2022-04-09T07:57:59.868021Z"},"papermill":{"duration":0.097467,"end_time":"2022-04-09T09:00:29.060738","exception":false,"start_time":"2022-04-09T09:00:28.963271","status":"completed"},"tags":[]},"outputs":[],"source":["df_train = df_train[[\"id\",\"text\",\"target\"]]"]},{"cell_type":"code","execution_count":7,"id":"33475b5f","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:29.225089Z","iopub.status.busy":"2022-04-09T09:00:29.224382Z","iopub.status.idle":"2022-04-09T09:00:29.236865Z","shell.execute_reply":"2022-04-09T09:00:29.237482Z","shell.execute_reply.started":"2022-04-09T07:57:59.875829Z"},"papermill":{"duration":0.098927,"end_time":"2022-04-09T09:00:29.237675","exception":false,"start_time":"2022-04-09T09:00:29.138748","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>id</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>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>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>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>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>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                                               text  target\n","0   1  Our Deeds are the Reason of this #earthquake M...       1\n","1   4             Forest fire near La Ronge Sask. Canada       1\n","2   5  All residents asked to 'shelter in place' are ...       1\n","3   6  13,000 people receive #wildfires evacuation or...       1\n","4   7  Just got sent this photo from Ruby #Alaska as ...       1"]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df_train.head()"]},{"cell_type":"code","execution_count":8,"id":"0cd4fe08","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:29.398398Z","iopub.status.busy":"2022-04-09T09:00:29.397406Z","iopub.status.idle":"2022-04-09T09:00:29.412296Z","shell.execute_reply":"2022-04-09T09:00:29.411749Z","shell.execute_reply.started":"2022-04-09T07:57:59.892986Z"},"papermill":{"duration":0.095885,"end_time":"2022-04-09T09:00:29.412476","exception":false,"start_time":"2022-04-09T09:00:29.316591","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>target</th>\n","      <th>text</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>4342</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>3271</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   target  text\n","0       0  4342\n","1       1  3271"]},"execution_count":8,"metadata":{},"output_type":"execute_result"}],"source":["temp = df_train.groupby('target').count()['text'].reset_index().sort_values(by='text',ascending=False)\n","temp"]},{"cell_type":"code","execution_count":9,"id":"4c35d9a8","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:29.576005Z","iopub.status.busy":"2022-04-09T09:00:29.575277Z","iopub.status.idle":"2022-04-09T09:00:29.98758Z","shell.execute_reply":"2022-04-09T09:00:29.986848Z","shell.execute_reply.started":"2022-04-09T07:57:59.94264Z"},"papermill":{"duration":0.496779,"end_time":"2022-04-09T09:00:29.987735","exception":false,"start_time":"2022-04-09T09:00:29.490956","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["<AxesSubplot:xlabel='target', ylabel='count'>"]},"execution_count":9,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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\n","text/plain":["<Figure size 864x432 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["plt.figure(figsize=(12,6))\n","sns.countplot(x='target',data=df_train)"]},{"cell_type":"code","execution_count":10,"id":"b4d43dce","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:30.157031Z","iopub.status.busy":"2022-04-09T09:00:30.156318Z","iopub.status.idle":"2022-04-09T09:00:30.162896Z","shell.execute_reply":"2022-04-09T09:00:30.162261Z","shell.execute_reply.started":"2022-04-09T07:58:00.12812Z"},"papermill":{"duration":0.092645,"end_time":"2022-04-09T09:00:30.163064","exception":false,"start_time":"2022-04-09T09:00:30.070419","status":"completed"},"tags":[]},"outputs":[],"source":["def clean_text(text) :\n","    text = str(text).lower()\n","    text = re.sub('\\[.*?\\]', '', text)\n","    text = re.sub('https?://\\S+|www\\.\\S+', '', text)\n","    text = re.sub('<.*?>+', '', text)\n","    text = re.sub('[%s]' % re.escape(string.punctuation), '', text)\n","    text = re.sub('\\n', '', text)\n","    text = re.sub('\\w*\\d\\w*', '', text)\n","    return text    "]},{"cell_type":"code","execution_count":11,"id":"8c83d2fa","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:30.327647Z","iopub.status.busy":"2022-04-09T09:00:30.326879Z","iopub.status.idle":"2022-04-09T09:00:30.607462Z","shell.execute_reply":"2022-04-09T09:00:30.606848Z","shell.execute_reply.started":"2022-04-09T07:58:00.136363Z"},"papermill":{"duration":0.364438,"end_time":"2022-04-09T09:00:30.607631","exception":false,"start_time":"2022-04-09T09:00:30.243193","status":"completed"},"tags":[]},"outputs":[],"source":["df_train['text'] = df_train['text'].apply(lambda x:clean_text(x))"]},{"cell_type":"code","execution_count":12,"id":"5fe06af3","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:30.818308Z","iopub.status.busy":"2022-04-09T09:00:30.817581Z","iopub.status.idle":"2022-04-09T09:00:30.895668Z","shell.execute_reply":"2022-04-09T09:00:30.8963Z","shell.execute_reply.started":"2022-04-09T07:58:00.308558Z"},"papermill":{"duration":0.209231,"end_time":"2022-04-09T09:00:30.896512","exception":false,"start_time":"2022-04-09T09:00:30.687281","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_60442_row0_col1 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_60442_row1_col1 {\n","  background-color: #5ba3d0;\n","  color: #f1f1f1;\n","}\n","#T_60442_row2_col1 {\n","  background-color: #79b5d9;\n","  color: #000000;\n","}\n","#T_60442_row3_col1 {\n","  background-color: #7db8da;\n","  color: #000000;\n","}\n","#T_60442_row4_col1 {\n","  background-color: #92c4de;\n","  color: #000000;\n","}\n","#T_60442_row5_col1 {\n","  background-color: #caddf0;\n","  color: #000000;\n","}\n","#T_60442_row6_col1 {\n","  background-color: #cde0f1;\n","  color: #000000;\n","}\n","#T_60442_row7_col1 {\n","  background-color: #f0f6fd;\n","  color: #000000;\n","}\n","#T_60442_row8_col1 {\n","  background-color: #f4f9fe;\n","  color: #000000;\n","}\n","#T_60442_row9_col1 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_60442_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Common_words</th>\n","      <th class=\"col_heading level0 col1\" >count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_60442_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_60442_row0_col0\" class=\"data row0 col0\" >the</td>\n","      <td id=\"T_60442_row0_col1\" class=\"data row0 col1\" >3248</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_60442_row1_col0\" class=\"data row1 col0\" >a</td>\n","      <td id=\"T_60442_row1_col1\" class=\"data row1 col1\" >2167</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_60442_row2_col0\" class=\"data row2 col0\" >in</td>\n","      <td id=\"T_60442_row2_col1\" class=\"data row2 col1\" >1971</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_60442_row3_col0\" class=\"data row3 col0\" >to</td>\n","      <td id=\"T_60442_row3_col1\" class=\"data row3 col1\" >1943</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_60442_row4_col0\" class=\"data row4 col0\" >of</td>\n","      <td id=\"T_60442_row4_col1\" class=\"data row4 col1\" >1821</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n","      <td id=\"T_60442_row5_col0\" class=\"data row5 col0\" >and</td>\n","      <td id=\"T_60442_row5_col1\" class=\"data row5 col1\" >1410</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n","      <td id=\"T_60442_row6_col0\" class=\"data row6 col0\" >i</td>\n","      <td id=\"T_60442_row6_col1\" class=\"data row6 col1\" >1363</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n","      <td id=\"T_60442_row7_col0\" class=\"data row7 col0\" >is</td>\n","      <td id=\"T_60442_row7_col1\" class=\"data row7 col1\" >942</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n","      <td id=\"T_60442_row8_col0\" class=\"data row8 col0\" >for</td>\n","      <td id=\"T_60442_row8_col1\" class=\"data row8 col1\" >889</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_60442_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n","      <td id=\"T_60442_row9_col0\" class=\"data row9 col0\" >on</td>\n","      <td id=\"T_60442_row9_col1\" class=\"data row9 col1\" >850</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f30f3df0c10>"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["df_train['temp_list'] = df_train['text'].apply(lambda x:str(x).split())\n","top = Counter([item for sublist in df_train['temp_list'] for item in sublist])\n","temp = pd.DataFrame(top.most_common(10))\n","temp.columns = ['Common_words','count']\n","temp.style.background_gradient(cmap='Blues')"]},{"cell_type":"code","execution_count":13,"id":"ecb2a09d","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:31.065692Z","iopub.status.busy":"2022-04-09T09:00:31.064929Z","iopub.status.idle":"2022-04-09T09:00:32.51487Z","shell.execute_reply":"2022-04-09T09:00:32.515488Z","shell.execute_reply.started":"2022-04-09T07:58:00.375115Z"},"papermill":{"duration":1.538023,"end_time":"2022-04-09T09:00:32.515681","exception":false,"start_time":"2022-04-09T09:00:30.977658","status":"completed"},"tags":[]},"outputs":[],"source":["def remove_stopword(x):\n","    all_stopwords = stopwords.words('english')\n","    all_stopwords.remove('not')\n","    return [word for word in x if not word in set(all_stopwords)]\n","\n","df_train['temp_list'] = df_train['temp_list'].apply(lambda x:remove_stopword(x))"]},{"cell_type":"code","execution_count":14,"id":"ac53bf87","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:32.696526Z","iopub.status.busy":"2022-04-09T09:00:32.680139Z","iopub.status.idle":"2022-04-09T09:00:32.713785Z","shell.execute_reply":"2022-04-09T09:00:32.714263Z","shell.execute_reply.started":"2022-04-09T07:58:01.678355Z"},"papermill":{"duration":0.117638,"end_time":"2022-04-09T09:00:32.714483","exception":false,"start_time":"2022-04-09T09:00:32.596845","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_e0839_row0_col1 {\n","  background-color: #3f007d;\n","  color: #f1f1f1;\n","}\n","#T_e0839_row1_col1 {\n","  background-color: #420680;\n","  color: #f1f1f1;\n","}\n","#T_e0839_row2_col1 {\n","  background-color: #440981;\n","  color: #f1f1f1;\n","}\n","#T_e0839_row3_col1 {\n","  background-color: #705eaa;\n","  color: #f1f1f1;\n","}\n","#T_e0839_row4_col1 {\n","  background-color: 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#000000;\n","}\n","#T_e0839_row16_col1 {\n","  background-color: #f9f8fb;\n","  color: #000000;\n","}\n","#T_e0839_row17_col1 {\n","  background-color: #faf9fc;\n","  color: #000000;\n","}\n","#T_e0839_row18_col1 {\n","  background-color: #fcfbfd;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_e0839_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Common_words</th>\n","      <th class=\"col_heading level0 col1\" >count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_e0839_level0_row0\" class=\"row_heading level0 row0\" >1</th>\n","      <td id=\"T_e0839_row0_col0\" class=\"data row0 col0\" >amp</td>\n","      <td id=\"T_e0839_row0_col1\" class=\"data row0 col1\" >298</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row1\" class=\"row_heading level0 row1\" >2</th>\n","      <td id=\"T_e0839_row1_col0\" class=\"data row1 col0\" >im</td>\n","      <td id=\"T_e0839_row1_col1\" class=\"data row1 col1\" >294</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row2\" class=\"row_heading level0 row2\" >3</th>\n","      <td id=\"T_e0839_row2_col0\" class=\"data row2 col0\" >not</td>\n","      <td id=\"T_e0839_row2_col1\" class=\"data row2 col1\" >293</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row3\" class=\"row_heading level0 row3\" >4</th>\n","      <td id=\"T_e0839_row3_col0\" class=\"data row3 col0\" >fire</td>\n","      <td id=\"T_e0839_row3_col1\" class=\"data row3 col1\" >248</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row4\" class=\"row_heading level0 row4\" >5</th>\n","      <td id=\"T_e0839_row4_col0\" class=\"data row4 col0\" >get</td>\n","      <td id=\"T_e0839_row4_col1\" class=\"data row4 col1\" >228</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row5\" class=\"row_heading level0 row5\" >6</th>\n","      <td id=\"T_e0839_row5_col0\" class=\"data row5 col0\" >new</td>\n","      <td id=\"T_e0839_row5_col1\" class=\"data row5 col1\" >223</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row6\" class=\"row_heading level0 row6\" >7</th>\n","      <td id=\"T_e0839_row6_col0\" class=\"data row6 col0\" >via</td>\n","      <td id=\"T_e0839_row6_col1\" class=\"data row6 col1\" >220</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row7\" class=\"row_heading level0 row7\" >8</th>\n","      <td id=\"T_e0839_row7_col0\" class=\"data row7 col0\" >people</td>\n","      <td id=\"T_e0839_row7_col1\" class=\"data row7 col1\" >196</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row8\" class=\"row_heading level0 row8\" >9</th>\n","      <td id=\"T_e0839_row8_col0\" class=\"data row8 col0\" >one</td>\n","      <td id=\"T_e0839_row8_col1\" class=\"data row8 col1\" >191</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row9\" class=\"row_heading level0 row9\" >10</th>\n","      <td id=\"T_e0839_row9_col0\" class=\"data row9 col0\" >dont</td>\n","      <td id=\"T_e0839_row9_col1\" class=\"data row9 col1\" >189</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row10\" class=\"row_heading level0 row10\" >11</th>\n","      <td id=\"T_e0839_row10_col0\" class=\"data row10 col0\" >news</td>\n","      <td id=\"T_e0839_row10_col1\" class=\"data row10 col1\" >185</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row11\" class=\"row_heading level0 row11\" >12</th>\n","      <td id=\"T_e0839_row11_col0\" class=\"data row11 col0\" >us</td>\n","      <td id=\"T_e0839_row11_col1\" class=\"data row11 col1\" >162</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row12\" class=\"row_heading level0 row12\" >13</th>\n","      <td id=\"T_e0839_row12_col0\" class=\"data row12 col0\" >video</td>\n","      <td id=\"T_e0839_row12_col1\" class=\"data row12 col1\" >158</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row13\" class=\"row_heading level0 row13\" >14</th>\n","      <td id=\"T_e0839_row13_col0\" class=\"data row13 col0\" >emergency</td>\n","      <td id=\"T_e0839_row13_col1\" class=\"data row13 col1\" >156</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row14\" class=\"row_heading level0 row14\" >15</th>\n","      <td id=\"T_e0839_row14_col0\" class=\"data row14 col0\" >disaster</td>\n","      <td id=\"T_e0839_row14_col1\" class=\"data row14 col1\" >150</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row15\" class=\"row_heading level0 row15\" >16</th>\n","      <td id=\"T_e0839_row15_col0\" class=\"data row15 col0\" >police</td>\n","      <td id=\"T_e0839_row15_col1\" class=\"data row15 col1\" >137</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row16\" class=\"row_heading level0 row16\" >17</th>\n","      <td id=\"T_e0839_row16_col0\" class=\"data row16 col0\" >would</td>\n","      <td id=\"T_e0839_row16_col1\" class=\"data row16 col1\" >129</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row17\" class=\"row_heading level0 row17\" >18</th>\n","      <td id=\"T_e0839_row17_col0\" class=\"data row17 col0\" >still</td>\n","      <td id=\"T_e0839_row17_col1\" class=\"data row17 col1\" >128</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e0839_level0_row18\" class=\"row_heading level0 row18\" >19</th>\n","      <td id=\"T_e0839_row18_col0\" class=\"data row18 col0\" >body</td>\n","      <td id=\"T_e0839_row18_col1\" class=\"data row18 col1\" >124</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f30f3dee090>"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["top = Counter([item for sublist in df_train['temp_list'] for item in sublist])\n","temp = pd.DataFrame(top.most_common(20))\n","temp = temp.iloc[1:,:]\n","temp.columns = ['Common_words','count']\n","temp.style.background_gradient(cmap='Purples')"]},{"cell_type":"code","execution_count":15,"id":"2abfcd04","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:32.882738Z","iopub.status.busy":"2022-04-09T09:00:32.881764Z","iopub.status.idle":"2022-04-09T09:00:33.983616Z","shell.execute_reply":"2022-04-09T09:00:33.984151Z","shell.execute_reply.started":"2022-04-09T07:58:01.711834Z"},"papermill":{"duration":1.188683,"end_time":"2022-04-09T09:00:33.98437","exception":false,"start_time":"2022-04-09T09:00:32.795687","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["        <script type=\"text/javascript\">\n","        window.PlotlyConfig = {MathJaxConfig: 'local'};\n","        if (window.MathJax) {MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n","        if (typeof require !== 'undefined') {\n","        require.undef(\"plotly\");\n","        requirejs.config({\n","            paths: {\n","                'plotly': 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level0 row2\" >2</th>\n","      <td id=\"T_c3dcb_row2_col0\" class=\"data row2 col0\" >not</td>\n","      <td id=\"T_c3dcb_row2_col1\" class=\"data row2 col1\" >201</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_c3dcb_row3_col0\" class=\"data row3 col0\" >amp</td>\n","      <td id=\"T_c3dcb_row3_col1\" class=\"data row3 col1\" >192</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_c3dcb_row4_col0\" class=\"data row4 col0\" >new</td>\n","      <td id=\"T_c3dcb_row4_col1\" class=\"data row4 col1\" >168</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n","      <td id=\"T_c3dcb_row5_col0\" class=\"data row5 col0\" >get</td>\n","      <td id=\"T_c3dcb_row5_col1\" class=\"data row5 col1\" >162</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n","      <td id=\"T_c3dcb_row6_col0\" class=\"data row6 col0\" >dont</td>\n","      <td id=\"T_c3dcb_row6_col1\" class=\"data row6 col1\" >139</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n","      <td id=\"T_c3dcb_row7_col0\" class=\"data row7 col0\" >one</td>\n","      <td id=\"T_c3dcb_row7_col1\" class=\"data row7 col1\" >126</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n","      <td id=\"T_c3dcb_row8_col0\" class=\"data row8 col0\" >body</td>\n","      <td id=\"T_c3dcb_row8_col1\" class=\"data row8 col1\" >112</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n","      <td id=\"T_c3dcb_row9_col0\" class=\"data row9 col0\" >via</td>\n","      <td id=\"T_c3dcb_row9_col1\" class=\"data row9 col1\" >99</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n","      <td id=\"T_c3dcb_row10_col0\" class=\"data row10 col0\" >would</td>\n","      <td id=\"T_c3dcb_row10_col1\" class=\"data row10 col1\" >95</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n","      <td id=\"T_c3dcb_row11_col0\" class=\"data row11 col0\" >people</td>\n","      <td id=\"T_c3dcb_row11_col1\" class=\"data row11 col1\" >91</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n","      <td id=\"T_c3dcb_row12_col0\" class=\"data row12 col0\" >video</td>\n","      <td id=\"T_c3dcb_row12_col1\" class=\"data row12 col1\" >90</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n","      <td id=\"T_c3dcb_row13_col0\" class=\"data row13 col0\" >love</td>\n","      <td id=\"T_c3dcb_row13_col1\" class=\"data row13 col1\" >88</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n","      <td id=\"T_c3dcb_row14_col0\" class=\"data row14 col0\" >back</td>\n","      <td id=\"T_c3dcb_row14_col1\" class=\"data row14 col1\" >84</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n","      <td id=\"T_c3dcb_row15_col0\" class=\"data row15 col0\" >time</td>\n","      <td id=\"T_c3dcb_row15_col1\" class=\"data row15 col1\" >83</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n","      <td id=\"T_c3dcb_row16_col0\" class=\"data row16 col0\" >know</td>\n","      <td id=\"T_c3dcb_row16_col1\" class=\"data row16 col1\" >83</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n","      <td id=\"T_c3dcb_row17_col0\" class=\"data row17 col0\" >got</td>\n","      <td id=\"T_c3dcb_row17_col1\" class=\"data row17 col1\" >83</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n","      <td id=\"T_c3dcb_row18_col0\" class=\"data row18 col0\" >cant</td>\n","      <td id=\"T_c3dcb_row18_col1\" class=\"data row18 col1\" >81</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c3dcb_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n","      <td id=\"T_c3dcb_row19_col0\" class=\"data row19 col0\" >us</td>\n","      <td id=\"T_c3dcb_row19_col1\" class=\"data row19 col1\" >81</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f30f4311990>"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["top = Counter([item for sublist in real_disaster['temp_list'] for item in sublist])\n","temp_positive = pd.DataFrame(top.most_common(20))\n","temp_positive = temp_positive.iloc[0:,:]\n","temp_positive.columns = ['Common_words','count']\n","temp_positive.style.background_gradient(cmap='Greens')"]},{"cell_type":"code","execution_count":18,"id":"23a65814","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:34.537564Z","iopub.status.busy":"2022-04-09T09:00:34.536429Z","iopub.status.idle":"2022-04-09T09:00:34.563095Z","shell.execute_reply":"2022-04-09T09:00:34.563667Z","shell.execute_reply.started":"2022-04-09T07:58:01.82241Z"},"papermill":{"duration":0.114353,"end_time":"2022-04-09T09:00:34.563848","exception":false,"start_time":"2022-04-09T09:00:34.449495","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_624db_row0_col1 {\n","  background-color: #67000d;\n","  color: #f1f1f1;\n","}\n","#T_624db_row1_col1 {\n","  background-color: #b91419;\n","  color: #f1f1f1;\n","}\n","#T_624db_row2_col1 {\n","  background-color: #d32020;\n","  color: #f1f1f1;\n","}\n","#T_624db_row3_col1 {\n","  background-color: #ed392b;\n","  color: #f1f1f1;\n","}\n","#T_624db_row4_col1 {\n","  background-color: #f03f2e;\n","  color: #f1f1f1;\n","}\n","#T_624db_row5_col1 {\n","  background-color: #f7593f;\n","  color: #f1f1f1;\n","}\n","#T_624db_row6_col1, #T_624db_row7_col1 {\n","  background-color: #f96044;\n","  color: #f1f1f1;\n","}\n","#T_624db_row8_col1 {\n","  background-color: #fca689;\n","  color: #000000;\n","}\n","#T_624db_row9_col1, #T_624db_row10_col1 {\n","  background-color: #fcab8f;\n","  color: #000000;\n","}\n","#T_624db_row11_col1 {\n","  background-color: #fdd2bf;\n","  color: #000000;\n","}\n","#T_624db_row12_col1 {\n","  background-color: #fdd7c6;\n","  color: #000000;\n","}\n","#T_624db_row13_col1 {\n","  background-color: #fedccd;\n","  color: #000000;\n","}\n","#T_624db_row14_col1 {\n","  background-color: #fee1d3;\n","  color: #000000;\n","}\n","#T_624db_row15_col1, #T_624db_row16_col1 {\n","  background-color: #fee4d8;\n","  color: #000000;\n","}\n","#T_624db_row17_col1 {\n","  background-color: #feeae0;\n","  color: #000000;\n","}\n","#T_624db_row18_col1 {\n","  background-color: #fff5f0;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_624db_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Common_words</th>\n","      <th class=\"col_heading level0 col1\" >count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_624db_level0_row0\" class=\"row_heading level0 row0\" >1</th>\n","      <td id=\"T_624db_row0_col0\" class=\"data row0 col0\" >news</td>\n","      <td id=\"T_624db_row0_col1\" class=\"data row0 col1\" >132</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row1\" class=\"row_heading level0 row1\" >2</th>\n","      <td id=\"T_624db_row1_col0\" class=\"data row1 col0\" >via</td>\n","      <td id=\"T_624db_row1_col1\" class=\"data row1 col1\" >121</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row2\" class=\"row_heading level0 row2\" >3</th>\n","      <td id=\"T_624db_row2_col0\" class=\"data row2 col0\" >disaster</td>\n","      <td id=\"T_624db_row2_col1\" class=\"data row2 col1\" >116</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row3\" class=\"row_heading level0 row3\" >4</th>\n","      <td id=\"T_624db_row3_col0\" class=\"data row3 col0\" >california</td>\n","      <td id=\"T_624db_row3_col1\" class=\"data row3 col1\" >111</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row4\" class=\"row_heading level0 row4\" >5</th>\n","      <td id=\"T_624db_row4_col0\" class=\"data row4 col0\" >suicide</td>\n","      <td id=\"T_624db_row4_col1\" class=\"data row4 col1\" >110</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row5\" class=\"row_heading level0 row5\" >6</th>\n","      <td id=\"T_624db_row5_col0\" class=\"data row5 col0\" >amp</td>\n","      <td id=\"T_624db_row5_col1\" class=\"data row5 col1\" >106</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row6\" class=\"row_heading level0 row6\" >7</th>\n","      <td id=\"T_624db_row6_col0\" class=\"data row6 col0\" >people</td>\n","      <td id=\"T_624db_row6_col1\" class=\"data row6 col1\" >105</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row7\" class=\"row_heading level0 row7\" >8</th>\n","      <td id=\"T_624db_row7_col0\" class=\"data row7 col0\" >police</td>\n","      <td id=\"T_624db_row7_col1\" class=\"data row7 col1\" >105</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row8\" class=\"row_heading level0 row8\" >9</th>\n","      <td id=\"T_624db_row8_col0\" class=\"data row8 col0\" >killed</td>\n","      <td id=\"T_624db_row8_col1\" class=\"data row8 col1\" >93</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row9\" class=\"row_heading level0 row9\" >10</th>\n","      <td id=\"T_624db_row9_col0\" class=\"data row9 col0\" >not</td>\n","      <td id=\"T_624db_row9_col1\" class=\"data row9 col1\" >92</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row10\" class=\"row_heading level0 row10\" >11</th>\n","      <td id=\"T_624db_row10_col0\" class=\"data row10 col0\" >like</td>\n","      <td id=\"T_624db_row10_col1\" class=\"data row10 col1\" >92</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row11\" class=\"row_heading level0 row11\" >12</th>\n","      <td id=\"T_624db_row11_col0\" class=\"data row11 col0\" >hiroshima</td>\n","      <td id=\"T_624db_row11_col1\" class=\"data row11 col1\" >85</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row12\" class=\"row_heading level0 row12\" >13</th>\n","      <td id=\"T_624db_row12_col0\" class=\"data row12 col0\" >fires</td>\n","      <td id=\"T_624db_row12_col1\" class=\"data row12 col1\" >84</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row13\" class=\"row_heading level0 row13\" >14</th>\n","      <td id=\"T_624db_row13_col0\" class=\"data row13 col0\" >storm</td>\n","      <td id=\"T_624db_row13_col1\" class=\"data row13 col1\" >83</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row14\" class=\"row_heading level0 row14\" >15</th>\n","      <td id=\"T_624db_row14_col0\" class=\"data row14 col0\" >crash</td>\n","      <td id=\"T_624db_row14_col1\" class=\"data row14 col1\" >82</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row15\" class=\"row_heading level0 row15\" >16</th>\n","      <td id=\"T_624db_row15_col0\" class=\"data row15 col0\" >us</td>\n","      <td id=\"T_624db_row15_col1\" class=\"data row15 col1\" >81</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row16\" class=\"row_heading level0 row16\" >17</th>\n","      <td id=\"T_624db_row16_col0\" class=\"data row16 col0\" >families</td>\n","      <td id=\"T_624db_row16_col1\" class=\"data row16 col1\" >81</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row17\" class=\"row_heading level0 row17\" >18</th>\n","      <td id=\"T_624db_row17_col0\" class=\"data row17 col0\" >train</td>\n","      <td id=\"T_624db_row17_col1\" class=\"data row17 col1\" >79</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_624db_level0_row18\" class=\"row_heading level0 row18\" >19</th>\n","      <td id=\"T_624db_row18_col0\" class=\"data row18 col0\" >emergency</td>\n","      <td id=\"T_624db_row18_col1\" class=\"data row18 col1\" >75</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f30f4304a90>"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["top = Counter([item for sublist in fake_disaster['temp_list'] for item in sublist])\n","temp_negative = pd.DataFrame(top.most_common(20))\n","temp_negative = temp_negative.iloc[1:,:]\n","temp_negative.columns = ['Common_words','count']\n","temp_negative.style.background_gradient(cmap='Reds')"]},{"cell_type":"code","execution_count":19,"id":"00ee6394","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:34.735992Z","iopub.status.busy":"2022-04-09T09:00:34.734722Z","iopub.status.idle":"2022-04-09T09:00:34.743812Z","shell.execute_reply":"2022-04-09T09:00:34.744471Z","shell.execute_reply.started":"2022-04-09T07:58:01.851334Z"},"papermill":{"duration":0.096695,"end_time":"2022-04-09T09:00:34.744651","exception":false,"start_time":"2022-04-09T09:00:34.647956","status":"completed"},"tags":[]},"outputs":[],"source":["raw_text = [word for word_list in df_train['temp_list'] for word in word_list]"]},{"cell_type":"code","execution_count":20,"id":"c8ee6528","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:34.919233Z","iopub.status.busy":"2022-04-09T09:00:34.918158Z","iopub.status.idle":"2022-04-09T09:00:34.929773Z","shell.execute_reply":"2022-04-09T09:00:34.930274Z","shell.execute_reply.started":"2022-04-09T07:58:01.865761Z"},"papermill":{"duration":0.101487,"end_time":"2022-04-09T09:00:34.930506","exception":false,"start_time":"2022-04-09T09:00:34.829019","status":"completed"},"tags":[]},"outputs":[],"source":["def words_unique(target,numwords,raw_words):\n","    '''\n","    Input:\n","        segment - Segment category (ex. 'Neutral');\n","        numwords - how many specific words do you want to see in the final result; \n","        raw_words - list  for item in train_data[train_data.segments == segments]['temp_list1']:\n","    Output: \n","        dataframe giving information about the name of the specific ingredient and how many times it occurs in the chosen cuisine (in descending order based on their counts)..\n","\n","    '''\n","    allother = []\n","    for item in df_train[df_train.target != target]['temp_list']:\n","        for word in item:\n","            allother .append(word)\n","    allother  = list(set(allother ))\n","    \n","    specificnonly = [x for x in raw_text if x not in allother]\n","    \n","    mycounter = Counter()\n","    \n","    for item in df_train[df_train.target == target]['temp_list']:\n","        for word in item:\n","            mycounter[word] += 1\n","    keep = list(specificnonly)\n","    \n","    for word in list(mycounter):\n","        if word not in keep:\n","            del mycounter[word]\n","    \n","    Unique_words = pd.DataFrame(mycounter.most_common(numwords), columns = ['words','count'])\n","    \n","    return Unique_words"]},{"cell_type":"code","execution_count":21,"id":"fd7172e0","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:35.108569Z","iopub.status.busy":"2022-04-09T09:00:35.10781Z","iopub.status.idle":"2022-04-09T09:00:43.952282Z","shell.execute_reply":"2022-04-09T09:00:43.952818Z","shell.execute_reply.started":"2022-04-09T07:58:01.877441Z"},"papermill":{"duration":8.937051,"end_time":"2022-04-09T09:00:43.952994","exception":false,"start_time":"2022-04-09T09:00:35.015943","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["The top 20 unique words in Positive Tweets are:\n"]},{"data":{"text/html":["<style type=\"text/css\">\n","#T_38e64_row0_col1 {\n","  background-color: #00441b;\n","  color: #f1f1f1;\n","}\n","#T_38e64_row1_col1 {\n","  background-color: #005321;\n","  color: #f1f1f1;\n","}\n","#T_38e64_row2_col1 {\n","  background-color: #39a257;\n","  color: #f1f1f1;\n","}\n","#T_38e64_row3_col1 {\n","  background-color: #52b365;\n","  color: #f1f1f1;\n","}\n","#T_38e64_row4_col1 {\n","  background-color: #92d28f;\n","  color: #000000;\n","}\n","#T_38e64_row5_col1 {\n","  background-color: #9cd797;\n","  color: #000000;\n","}\n","#T_38e64_row6_col1 {\n","  background-color: #abdda5;\n","  color: #000000;\n","}\n","#T_38e64_row7_col1 {\n","  background-color: #bbe4b4;\n","  color: #000000;\n","}\n","#T_38e64_row8_col1, #T_38e64_row9_col1 {\n","  background-color: #d5efcf;\n","  color: #000000;\n","}\n","#T_38e64_row10_col1, #T_38e64_row11_col1 {\n","  background-color: #e5f5e1;\n","  color: #000000;\n","}\n","#T_38e64_row12_col1, #T_38e64_row13_col1, #T_38e64_row14_col1, #T_38e64_row15_col1, #T_38e64_row16_col1 {\n","  background-color: #f0f9ed;\n","  color: #000000;\n","}\n","#T_38e64_row17_col1, #T_38e64_row18_col1 {\n","  background-color: #f4fbf1;\n","  color: #000000;\n","}\n","#T_38e64_row19_col1 {\n","  background-color: #f7fcf5;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_38e64_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >words</th>\n","      <th class=\"col_heading level0 col1\" >count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_38e64_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_38e64_row0_col0\" class=\"data row0 col0\" >northern</td>\n","      <td id=\"T_38e64_row0_col1\" class=\"data row0 col1\" >64</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_38e64_row1_col0\" class=\"data row1 col0\" >legionnaires</td>\n","      <td id=\"T_38e64_row1_col1\" class=\"data row1 col1\" >62</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_38e64_row2_col0\" class=\"data row2 col0\" >debris</td>\n","      <td id=\"T_38e64_row2_col1\" class=\"data row2 col1\" >50</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_38e64_row3_col0\" class=\"data row3 col0\" >severe</td>\n","      <td id=\"T_38e64_row3_col1\" class=\"data row3 col1\" >47</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_38e64_row4_col0\" class=\"data row4 col0\" >derailment</td>\n","      <td id=\"T_38e64_row4_col1\" class=\"data row4 col1\" >40</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n","      <td id=\"T_38e64_row5_col0\" class=\"data row5 col0\" >migrants</td>\n","      <td id=\"T_38e64_row5_col1\" class=\"data row5 col1\" >39</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n","      <td id=\"T_38e64_row6_col0\" class=\"data row6 col0\" >investigators</td>\n","      <td id=\"T_38e64_row6_col1\" class=\"data row6 col1\" >37</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n","      <td id=\"T_38e64_row7_col0\" class=\"data row7 col0\" >mosque</td>\n","      <td id=\"T_38e64_row7_col1\" class=\"data row7 col1\" >35</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n","      <td id=\"T_38e64_row8_col0\" class=\"data row8 col0\" >pkk</td>\n","      <td id=\"T_38e64_row8_col1\" class=\"data row8 col1\" >31</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n","      <td id=\"T_38e64_row9_col0\" class=\"data row9 col0\" >detonated</td>\n","      <td id=\"T_38e64_row9_col1\" class=\"data row9 col1\" >31</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n","      <td id=\"T_38e64_row10_col0\" class=\"data row10 col0\" >israeli</td>\n","      <td id=\"T_38e64_row10_col1\" class=\"data row10 col1\" >28</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n","      <td id=\"T_38e64_row11_col0\" class=\"data row11 col0\" >turkey</td>\n","      <td id=\"T_38e64_row11_col1\" class=\"data row11 col1\" >28</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n","      <td id=\"T_38e64_row12_col0\" class=\"data row12 col0\" >helicopter</td>\n","      <td id=\"T_38e64_row12_col1\" class=\"data row12 col1\" >25</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n","      <td id=\"T_38e64_row13_col0\" class=\"data row13 col0\" >abc</td>\n","      <td id=\"T_38e64_row13_col1\" class=\"data row13 col1\" >25</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n","      <td id=\"T_38e64_row14_col0\" class=\"data row14 col0\" >typhoondevastated</td>\n","      <td id=\"T_38e64_row14_col1\" class=\"data row14 col1\" >25</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n","      <td id=\"T_38e64_row15_col0\" class=\"data row15 col0\" >saipan</td>\n","      <td id=\"T_38e64_row15_col1\" class=\"data row15 col1\" >25</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n","      <td id=\"T_38e64_row16_col0\" class=\"data row16 col0\" >conclusively</td>\n","      <td id=\"T_38e64_row16_col1\" class=\"data row16 col1\" >25</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row17\" class=\"row_heading level0 row17\" >17</th>\n","      <td id=\"T_38e64_row17_col0\" class=\"data row17 col0\" >projected</td>\n","      <td id=\"T_38e64_row17_col1\" class=\"data row17 col1\" >24</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row18\" class=\"row_heading level0 row18\" >18</th>\n","      <td id=\"T_38e64_row18_col0\" class=\"data row18 col0\" >bestnaijamade</td>\n","      <td id=\"T_38e64_row18_col1\" class=\"data row18 col1\" >24</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_38e64_level0_row19\" class=\"row_heading level0 row19\" >19</th>\n","      <td id=\"T_38e64_row19_col0\" class=\"data row19 col0\" >signs</td>\n","      <td id=\"T_38e64_row19_col1\" class=\"data row19 col1\" >23</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f30f3e97350>"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["Unique_true= words_unique(1, 20, raw_text)\n","print(\"The top 20 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Words')\n","fig.show()"]},{"cell_type":"code","execution_count":23,"id":"d18a0bb9","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:44.381809Z","iopub.status.busy":"2022-04-09T09:00:44.381126Z","iopub.status.idle":"2022-04-09T09:00:44.782668Z","shell.execute_reply":"2022-04-09T09:00:44.782086Z","shell.execute_reply.started":"2022-04-09T07:58:10.569034Z"},"papermill":{"duration":0.494041,"end_time":"2022-04-09T09:00:44.782823","exception":false,"start_time":"2022-04-09T09:00:44.288782","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 1152x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["from palettable.colorbrewer.qualitative import Pastel1_7\n","plt.figure(figsize=(16,10))\n","my_circle=plt.Circle((0,0), 0.7, color='white')\n","plt.pie(Unique_true['count'], labels=Unique_true.words, colors=Pastel1_7.hex_colors)\n","p=plt.gcf()\n","p.gca().add_artist(my_circle)\n","plt.title('DoNut Plot Of Unique True Words')\n","plt.show()"]},{"cell_type":"code","execution_count":24,"id":"66dfa713","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:44.968378Z","iopub.status.busy":"2022-04-09T09:00:44.967693Z","iopub.status.idle":"2022-04-09T09:00:51.936177Z","shell.execute_reply":"2022-04-09T09:00:51.935527Z","shell.execute_reply.started":"2022-04-09T07:58:10.854313Z"},"papermill":{"duration":7.06343,"end_time":"2022-04-09T09:00:51.936318","exception":false,"start_time":"2022-04-09T09:00:44.872888","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["The top 10 unique words in Negative Tweets are:\n"]},{"data":{"text/html":["<style type=\"text/css\">\n","#T_820e8_row0_col1 {\n","  background-color: #67000d;\n","  color: #f1f1f1;\n","}\n","#T_820e8_row1_col1 {\n","  background-color: #e32f27;\n","  color: #f1f1f1;\n","}\n","#T_820e8_row2_col1 {\n","  background-color: #fb694a;\n","  color: #f1f1f1;\n","}\n","#T_820e8_row3_col1, #T_820e8_row4_col1 {\n","  background-color: #fca082;\n","  color: #000000;\n","}\n","#T_820e8_row5_col1, #T_820e8_row6_col1, #T_820e8_row7_col1, #T_820e8_row8_col1 {\n","  background-color: #fdd4c2;\n","  color: #000000;\n","}\n","#T_820e8_row9_col1 {\n","  background-color: #fff5f0;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_820e8_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >words</th>\n","      <th class=\"col_heading level0 col1\" >count</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_820e8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n","      <td id=\"T_820e8_row0_col0\" class=\"data row0 col0\" >lmao</td>\n","      <td id=\"T_820e8_row0_col1\" class=\"data row0 col1\" >16</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n","      <td id=\"T_820e8_row1_col0\" class=\"data row1 col0\" >king</td>\n","      <td id=\"T_820e8_row1_col1\" class=\"data row1 col1\" >14</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n","      <td id=\"T_820e8_row2_col0\" class=\"data row2 col0\" >career</td>\n","      <td id=\"T_820e8_row2_col1\" class=\"data row2 col1\" >13</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n","      <td id=\"T_820e8_row3_col0\" class=\"data row3 col0\" >aftershock</td>\n","      <td id=\"T_820e8_row3_col1\" class=\"data row3 col1\" >12</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n","      <td id=\"T_820e8_row4_col0\" class=\"data row4 col0\" >louis</td>\n","      <td id=\"T_820e8_row4_col1\" class=\"data row4 col1\" >12</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n","      <td id=\"T_820e8_row5_col0\" class=\"data row5 col0\" >edm</td>\n","      <td id=\"T_820e8_row5_col1\" class=\"data row5 col1\" >11</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n","      <td id=\"T_820e8_row6_col0\" class=\"data row6 col0\" >lucky</td>\n","      <td id=\"T_820e8_row6_col1\" class=\"data row6 col1\" >11</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n","      <td id=\"T_820e8_row7_col0\" class=\"data row7 col0\" >complete</td>\n","      <td id=\"T_820e8_row7_col1\" class=\"data row7 col1\" >11</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n","      <td id=\"T_820e8_row8_col0\" class=\"data row8 col0\" >arianagrande</td>\n","      <td id=\"T_820e8_row8_col1\" class=\"data row8 col1\" >11</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_820e8_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n","      <td id=\"T_820e8_row9_col0\" class=\"data row9 col0\" >shall</td>\n","      <td id=\"T_820e8_row9_col1\" class=\"data row9 col1\" >10</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f30f42ea710>"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["Unique_fake = words_unique(0, 10, raw_text)\n","print(\"The top 10 unique words in Negative Tweets are:\")\n","Unique_fake.style.background_gradient(cmap='Reds')"]},{"cell_type":"code","execution_count":25,"id":"b0484aad","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:52.128111Z","iopub.status.busy":"2022-04-09T09:00:52.127391Z","iopub.status.idle":"2022-04-09T09:00:52.323564Z","shell.execute_reply":"2022-04-09T09:00:52.324555Z","shell.execute_reply.started":"2022-04-09T07:58:17.531075Z"},"papermill":{"duration":0.296555,"end_time":"2022-04-09T09:00:52.324867","exception":false,"start_time":"2022-04-09T09:00:52.028312","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 1152x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["from palettable.colorbrewer.qualitative import Pastel1_7\n","plt.figure(figsize=(16,10))\n","my_circle=plt.Circle((0,0), 0.7, color='white')\n","plt.pie(Unique_fake['count'], labels=Unique_fake.words, colors=Pastel1_7.hex_colors)\n","p=plt.gcf()\n","p.gca().add_artist(my_circle)\n","plt.title('DoNut Plot Of Unique Fake Words')\n","plt.show()"]},{"cell_type":"code","execution_count":26,"id":"de12fceb","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:52.527266Z","iopub.status.busy":"2022-04-09T09:00:52.521469Z","iopub.status.idle":"2022-04-09T09:00:52.857633Z","shell.execute_reply":"2022-04-09T09:00:52.857081Z","shell.execute_reply.started":"2022-04-09T07:58:17.731196Z"},"papermill":{"duration":0.432737,"end_time":"2022-04-09T09:00:52.857788","exception":false,"start_time":"2022-04-09T09:00:52.425051","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 1080x720 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["text = \" \".join(i for i in temp_positive.Common_words)\n","\n","# Create and generate a word cloud image:\n","stopwords = set(STOPWORDS)\n","more_stopwords = {'u', \"im\"}\n","stopwords = stopwords.union(more_stopwords)\n","wordcloud = WordCloud(max_font_size=50, max_words=100, background_color=\"white\", stopwords = stopwords).generate(text)\n","# Display the generated image:\n","plt.figure( figsize=(15,10))\n","plt.imshow(wordcloud, interpolation='bilinear')\n","plt.title(\"WordClound of true disaster\", fontdict={'size': 40,  'verticalalignment': 'bottom'})\n","plt.axis(\"off\")\n","plt.show()"]},{"cell_type":"code","execution_count":27,"id":"de26ff20","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:53.072147Z","iopub.status.busy":"2022-04-09T09:00:53.071243Z","iopub.status.idle":"2022-04-09T09:00:53.07454Z","shell.execute_reply":"2022-04-09T09:00:53.075025Z","shell.execute_reply.started":"2022-04-09T07:58:18.036772Z"},"papermill":{"duration":0.119504,"end_time":"2022-04-09T09:00:53.075199","exception":false,"start_time":"2022-04-09T09:00:52.955695","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>id</th>\n","      <th>text</th>\n","      <th>target</th>\n","      <th>temp_list</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>15</th>\n","      <td>23</td>\n","      <td>whats up man</td>\n","      <td>0</td>\n","      <td>[whats, man]</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>24</td>\n","      <td>i love fruits</td>\n","      <td>0</td>\n","      <td>[love, fruits]</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>25</td>\n","      <td>summer is lovely</td>\n","      <td>0</td>\n","      <td>[summer, lovely]</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>26</td>\n","      <td>my car is so fast</td>\n","      <td>0</td>\n","      <td>[car, fast]</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>28</td>\n","      <td>what a goooooooaaaaaal</td>\n","      <td>0</td>\n","      <td>[goooooooaaaaaal]</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>7581</th>\n","      <td>10833</td>\n","      <td>engineshed great atmosphere at the british lio...</td>\n","      <td>0</td>\n","      <td>[engineshed, great, atmosphere, british, lion,...</td>\n","    </tr>\n","    <tr>\n","      <th>7582</th>\n","      <td>10834</td>\n","      <td>cramer igers  words that wrecked disneys stock...</td>\n","      <td>0</td>\n","      <td>[cramer, igers, words, wrecked, disneys, stock...</td>\n","    </tr>\n","    <tr>\n","      <th>7584</th>\n","      <td>10837</td>\n","      <td>these boxes are ready to explode exploding kit...</td>\n","      <td>0</td>\n","      <td>[boxes, ready, explode, exploding, kittens, fi...</td>\n","    </tr>\n","    <tr>\n","      <th>7587</th>\n","      <td>10841</td>\n","      <td>sirens everywhere</td>\n","      <td>0</td>\n","      <td>[sirens, everywhere]</td>\n","    </tr>\n","    <tr>\n","      <th>7593</th>\n","      <td>10848</td>\n","      <td>i just heard a really loud bang and everyone i...</td>\n","      <td>0</td>\n","      <td>[heard, really, loud, bang, everyone, asleep, ...</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>4342 rows × 4 columns</p>\n","</div>"],"text/plain":["         id                                               text  target  \\\n","15       23                                       whats up man       0   \n","16       24                                      i love fruits       0   \n","17       25                                   summer is lovely       0   \n","18       26                                  my car is so fast       0   \n","19       28                             what a goooooooaaaaaal       0   \n","...     ...                                                ...     ...   \n","7581  10833  engineshed great atmosphere at the british lio...       0   \n","7582  10834  cramer igers  words that wrecked disneys stock...       0   \n","7584  10837  these boxes are ready to explode exploding kit...       0   \n","7587  10841                                  sirens everywhere       0   \n","7593  10848  i just heard a really loud bang and everyone i...       0   \n","\n","                                              temp_list  \n","15                                         [whats, man]  \n","16                                       [love, fruits]  \n","17                                     [summer, lovely]  \n","18                                          [car, fast]  \n","19                                    [goooooooaaaaaal]  \n","...                                                 ...  \n","7581  [engineshed, great, atmosphere, british, lion,...  \n","7582  [cramer, igers, words, wrecked, disneys, stock...  \n","7584  [boxes, ready, explode, exploding, kittens, fi...  \n","7587                               [sirens, everywhere]  \n","7593  [heard, really, loud, bang, everyone, asleep, ...  \n","\n","[4342 rows x 4 columns]"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["real_disaster"]},{"cell_type":"code","execution_count":28,"id":"57146cfa","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:53.281657Z","iopub.status.busy":"2022-04-09T09:00:53.280887Z","iopub.status.idle":"2022-04-09T09:00:53.294285Z","shell.execute_reply":"2022-04-09T09:00:53.295109Z","shell.execute_reply.started":"2022-04-09T07:58:18.056197Z"},"papermill":{"duration":0.120819,"end_time":"2022-04-09T09:00:53.295306","exception":false,"start_time":"2022-04-09T09:00:53.174487","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>id</th>\n","      <th>text</th>\n","      <th>target</th>\n","      <th>temp_list</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>15</th>\n","      <td>23</td>\n","      <td>whats up man</td>\n","      <td>0</td>\n","      <td>[whats, man]</td>\n","    </tr>\n","    <tr>\n","      <th>16</th>\n","      <td>24</td>\n","      <td>i love fruits</td>\n","      <td>0</td>\n","      <td>[love, fruits]</td>\n","    </tr>\n","    <tr>\n","      <th>17</th>\n","      <td>25</td>\n","      <td>summer is lovely</td>\n","      <td>0</td>\n","      <td>[summer, lovely]</td>\n","    </tr>\n","    <tr>\n","      <th>18</th>\n","      <td>26</td>\n","      <td>my car is so fast</td>\n","      <td>0</td>\n","      <td>[car, fast]</td>\n","    </tr>\n","    <tr>\n","      <th>19</th>\n","      <td>28</td>\n","      <td>what a goooooooaaaaaal</td>\n","      <td>0</td>\n","      <td>[goooooooaaaaaal]</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["    id                    text  target          temp_list\n","15  23            whats up man       0       [whats, man]\n","16  24           i love fruits       0     [love, fruits]\n","17  25        summer is lovely       0   [summer, lovely]\n","18  26       my car is so fast       0        [car, fast]\n","19  28  what a goooooooaaaaaal       0  [goooooooaaaaaal]"]},"execution_count":28,"metadata":{},"output_type":"execute_result"}],"source":["real_disaster.head()"]},{"cell_type":"code","execution_count":29,"id":"367c0620","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:53.500606Z","iopub.status.busy":"2022-04-09T09:00:53.499878Z","iopub.status.idle":"2022-04-09T09:00:53.83085Z","shell.execute_reply":"2022-04-09T09:00:53.831406Z","shell.execute_reply.started":"2022-04-09T07:58:18.073255Z"},"papermill":{"duration":0.434386,"end_time":"2022-04-09T09:00:53.831611","exception":false,"start_time":"2022-04-09T09:00:53.397225","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 1080x720 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["text = \" \".join(i for i in temp_negative.Common_words)\n","\n","# Create and generate a word cloud image:\n","stopwords = set(STOPWORDS)\n","wordcloud = WordCloud(max_font_size=50, max_words=100, background_color=\"white\", stopwords = stopwords).generate(text)\n","# Display the generated image:\n","plt.figure( figsize=(15,10))\n","plt.imshow(wordcloud, interpolation='bilinear')\n","plt.title(\"WordClound of fake disaster\", fontdict={'size': 40,  'verticalalignment': 'bottom'})\n","plt.axis(\"off\")\n","plt.show()"]},{"cell_type":"markdown","id":"fee57568","metadata":{"papermill":{"duration":0.105389,"end_time":"2022-04-09T09:00:54.042147","exception":false,"start_time":"2022-04-09T09:00:53.936758","status":"completed"},"tags":[]},"source":["# Prepareration data for create model"]},{"cell_type":"markdown","id":"b0b66f44","metadata":{"papermill":{"duration":0.103791,"end_time":"2022-04-09T09:00:54.250187","exception":false,"start_time":"2022-04-09T09:00:54.146396","status":"completed"},"tags":[]},"source":["## Create function Clean word\n","Make text lowercase, remove text in square brackets,remove links,remove punctuation and remove words containing numbers."]},{"cell_type":"code","execution_count":30,"id":"1010102b","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:54.461984Z","iopub.status.busy":"2022-04-09T09:00:54.461236Z","iopub.status.idle":"2022-04-09T09:00:54.472871Z","shell.execute_reply":"2022-04-09T09:00:54.473578Z","shell.execute_reply.started":"2022-04-09T07:58:18.397795Z"},"papermill":{"duration":0.119503,"end_time":"2022-04-09T09:00:54.473827","exception":false,"start_time":"2022-04-09T09:00:54.354324","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["[nltk_data] Downloading package stopwords to /usr/share/nltk_data...\n","[nltk_data]   Package stopwords is already up-to-date!\n"]}],"source":["from nltk import corpus\n","import re\n","import nltk \n","nltk.download('stopwords')\n","from nltk.corpus import stopwords \n","\n","\n","SENTIMENT_CSV = \"../input/nlp-getting-started/train.csv\"\n","def remove_stopwords(sentence):\n","    # List of stopwords\n","    sentence = sentence.lower()\n","    sentence = re.sub('[^a-zA-Z]', ' ', sentence)\n","    sentence = re.sub('\\[.*?\\]', '', sentence)\n","    sentence = re.sub('https?://\\S+|www\\.\\S+', '', sentence)\n","    sentence = re.sub('<.*?>+', '', sentence)\n","    sentencet = re.sub('[%s]' % re.escape(string.punctuation), '', sentence)\n","    sentence = re.sub('\\n', '', sentence)\n","    sentence = re.sub('\\w*\\d\\w*', '', sentence)\n","    sentence  = sentence.split()\n","    all_stopwords = stopwords.words('english')\n","    all_stopwords.remove('not')\n","    sentence = [word for word in sentence if not word in set(all_stopwords)]\n","    snow_stemmer = SnowballStemmer(language='english')\n","    sentence = [snow_stemmer.stem(word) for word in sentence]\n","    sentence = \" \".join(sentence)\n","        \n","    return sentence"]},{"cell_type":"markdown","id":"212a45df","metadata":{"papermill":{"duration":0.107006,"end_time":"2022-04-09T09:00:54.688712","exception":false,"start_time":"2022-04-09T09:00:54.581706","status":"completed"},"tags":[]},"source":["## Create function read csv"]},{"cell_type":"code","execution_count":31,"id":"6d29b4b9","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:54.910504Z","iopub.status.busy":"2022-04-09T09:00:54.90976Z","iopub.status.idle":"2022-04-09T09:00:54.915443Z","shell.execute_reply":"2022-04-09T09:00:54.916004Z","shell.execute_reply.started":"2022-04-09T07:58:18.410523Z"},"papermill":{"duration":0.119375,"end_time":"2022-04-09T09:00:54.916197","exception":false,"start_time":"2022-04-09T09:00:54.796822","status":"completed"},"tags":[]},"outputs":[],"source":["def parse_data_from_file(filename):\n","    \n","    sentences = []\n","    labels = []\n","    \n","    with open(filename, 'r') as csvfile:\n","        reader = csv.reader(csvfile, delimiter=',')\n","        next(reader)\n","        for row in reader:\n","            \n","            labels.append(int(row[4]))\n","            sentence = row[3]\n","            sentence = remove_stopwords(sentence)\n","            sentences.append(sentence)\n","\n","        \n","    return sentences, labels"]},{"cell_type":"code","execution_count":32,"id":"1e22a74b","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:55.13302Z","iopub.status.busy":"2022-04-09T09:00:55.132179Z","iopub.status.idle":"2022-04-09T09:00:58.920594Z","shell.execute_reply":"2022-04-09T09:00:58.92Z","shell.execute_reply.started":"2022-04-09T07:58:18.422999Z"},"papermill":{"duration":3.896567,"end_time":"2022-04-09T09:00:58.920758","exception":false,"start_time":"2022-04-09T09:00:55.024191","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["dataset contains 7613 examples\n","\n","Text of second example should look like this:\n","deed reason earthquak may allah forgiv us\n","\n","Text of fourth example should look like this:\n","peopl receiv wildfir evacu order california\n","\n","Labels of last 5 examples should look like this:\n","[1, 1, 1, 1, 1]\n"]}],"source":["sentences, labels = parse_data_from_file(SENTIMENT_CSV)\n","\n","print(f\"dataset contains {len(sentences)} examples\\n\")\n","\n","print(f\"Text of second example should look like this:\\n{sentences[0]}\\n\")\n","print(f\"Text of fourth example should look like this:\\n{sentences[3]}\")\n","\n","print(f\"\\nLabels of last 5 examples should look like this:\\n{labels[-5:]}\")"]},{"cell_type":"markdown","id":"48984961","metadata":{"papermill":{"duration":0.106448,"end_time":"2022-04-09T09:00:59.133126","exception":false,"start_time":"2022-04-09T09:00:59.026678","status":"completed"},"tags":[]},"source":["# Training - Validation Split"]},{"cell_type":"code","execution_count":33,"id":"a7425fbc","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:59.353357Z","iopub.status.busy":"2022-04-09T09:00:59.352661Z","iopub.status.idle":"2022-04-09T09:00:59.355705Z","shell.execute_reply":"2022-04-09T09:00:59.355133Z","shell.execute_reply.started":"2022-04-09T07:58:21.488644Z"},"papermill":{"duration":0.117448,"end_time":"2022-04-09T09:00:59.355867","exception":false,"start_time":"2022-04-09T09:00:59.238419","status":"completed"},"tags":[]},"outputs":[],"source":["x_train, x_val, y_train, y_val = train_test_split(sentences, labels,  \n","                                                  random_state=1, \n","                                                  test_size=0.2, shuffle=True)"]},{"cell_type":"code","execution_count":34,"id":"75f49414","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:59.571764Z","iopub.status.busy":"2022-04-09T09:00:59.570654Z","iopub.status.idle":"2022-04-09T09:00:59.575221Z","shell.execute_reply":"2022-04-09T09:00:59.57599Z","shell.execute_reply.started":"2022-04-09T07:58:21.499885Z"},"papermill":{"duration":0.115716,"end_time":"2022-04-09T09:00:59.57623","exception":false,"start_time":"2022-04-09T09:00:59.460514","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["There are 6090 sentences for training.\n","\n","There are 6090 labels for training.\n","\n","There are 1523 sentences for validation.\n","\n","There are 1523 labels for validation.\n"]}],"source":["print(f\"There are {len(x_train)} sentences for training.\\n\")\n","print(f\"There are {len(y_train)} labels for training.\\n\")\n","print(f\"There are {len(x_val)} sentences for validation.\\n\")\n","print(f\"There are {len(y_val)} labels for validation.\")"]},{"cell_type":"code","execution_count":35,"id":"e271e728","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:00:59.793293Z","iopub.status.busy":"2022-04-09T09:00:59.789224Z","iopub.status.idle":"2022-04-09T09:00:59.797063Z","shell.execute_reply":"2022-04-09T09:00:59.796486Z","shell.execute_reply.started":"2022-04-09T07:58:21.507171Z"},"papermill":{"duration":0.115662,"end_time":"2022-04-09T09:00:59.797211","exception":false,"start_time":"2022-04-09T09:00:59.681549","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["[[   0 3460]\n"," [   1 2630]]\n"]}],"source":["unique, counts = np.unique(y_train, return_counts=True)\n","train_result = np.column_stack((unique, counts)) \n","print(train_result)"]},{"cell_type":"code","execution_count":36,"id":"7e80e85d","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:00.013755Z","iopub.status.busy":"2022-04-09T09:01:00.013035Z","iopub.status.idle":"2022-04-09T09:01:00.018229Z","shell.execute_reply":"2022-04-09T09:01:00.017539Z","shell.execute_reply.started":"2022-04-09T07:58:21.524328Z"},"papermill":{"duration":0.115682,"end_time":"2022-04-09T09:01:00.01844","exception":false,"start_time":"2022-04-09T09:00:59.902758","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["[[  0 882]\n"," [  1 641]]\n"]}],"source":["unique, counts = np.unique(y_val, return_counts=True)\n","val_result = np.column_stack((unique, counts)) \n","print(val_result)"]},{"cell_type":"markdown","id":"beb9c4b5","metadata":{"papermill":{"duration":0.110543,"end_time":"2022-04-09T09:01:00.237652","exception":false,"start_time":"2022-04-09T09:01:00.127109","status":"completed"},"tags":[]},"source":["## Tokenization - Sequences, truncating and padding"]},{"cell_type":"code","execution_count":37,"id":"7421694c","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:00.45981Z","iopub.status.busy":"2022-04-09T09:01:00.459121Z","iopub.status.idle":"2022-04-09T09:01:00.462405Z","shell.execute_reply":"2022-04-09T09:01:00.46182Z","shell.execute_reply.started":"2022-04-09T07:58:21.534595Z"},"papermill":{"duration":0.115321,"end_time":"2022-04-09T09:01:00.462551","exception":false,"start_time":"2022-04-09T09:01:00.34723","status":"completed"},"tags":[]},"outputs":[],"source":["def fit_tokenizer(train_sentences, oov_token):\n","    \n","    \n","    # Instantiate the Tokenizer class, passing in the correct values for num_words and oov_token\n","    tokenizer = Tokenizer(oov_token = oov_token)\n","    \n","    # Fit the tokenizer to the training sentences\n","    tokenizer.fit_on_texts(train_sentences)\n","    \n","    \n","    return tokenizer"]},{"cell_type":"code","execution_count":38,"id":"87197aac","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:00.702483Z","iopub.status.busy":"2022-04-09T09:01:00.686033Z","iopub.status.idle":"2022-04-09T09:01:00.833087Z","shell.execute_reply":"2022-04-09T09:01:00.832248Z","shell.execute_reply.started":"2022-04-09T07:58:21.543425Z"},"papermill":{"duration":0.262693,"end_time":"2022-04-09T09:01:00.833304","exception":false,"start_time":"2022-04-09T09:01:00.570611","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Vocabulary contains 16187 words\n","\n","<OOV> token included in vocabulary\n","\n","index of word 'dog' should be 404\n"]}],"source":["OOV_TOKEN = \"<OOV>\"\n","tokenizer = fit_tokenizer(x_train, OOV_TOKEN)\n","\n","word_index = tokenizer.word_index\n","VOCAB_SIZE = len(word_index)\n","\n","print(f\"Vocabulary contains {VOCAB_SIZE} words\\n\")\n","print(\"<OOV> token included in vocabulary\" if \"<OOV>\" in word_index else \"<OOV> token NOT included in vocabulary\")\n","print(f\"\\nindex of word 'dog' should be {word_index['dog']}\")"]},{"cell_type":"code","execution_count":39,"id":"19487c00","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:01.05513Z","iopub.status.busy":"2022-04-09T09:01:01.05214Z","iopub.status.idle":"2022-04-09T09:01:01.057699Z","shell.execute_reply":"2022-04-09T09:01:01.057015Z","shell.execute_reply.started":"2022-04-09T07:58:21.680355Z"},"papermill":{"duration":0.115936,"end_time":"2022-04-09T09:01:01.057848","exception":false,"start_time":"2022-04-09T09:01:00.941912","status":"completed"},"tags":[]},"outputs":[],"source":["def seq_pad_and_trunc(sentences, tokenizer, padding, truncating, maxlen):\n","\n","       \n","    # Convert sentences to sequences\n","    sequences = tokenizer.texts_to_sequences(sentences)\n","    \n","    # Pad the sequences using the correct padding, truncating and maxlen\n","    pad_trunc_sequences = pad_sequences(sequences, padding= padding, maxlen = maxlen, truncating = truncating)\n","    \n","    \n","    return pad_trunc_sequences"]},{"cell_type":"code","execution_count":40,"id":"a01f957e","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:01.275227Z","iopub.status.busy":"2022-04-09T09:01:01.274562Z","iopub.status.idle":"2022-04-09T09:01:01.439808Z","shell.execute_reply":"2022-04-09T09:01:01.440284Z","shell.execute_reply.started":"2022-04-09T07:58:21.688544Z"},"papermill":{"duration":0.276176,"end_time":"2022-04-09T09:01:01.440492","exception":false,"start_time":"2022-04-09T09:01:01.164316","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Padded and truncated training sequences have shape: (6090, 30)\n","\n","Padded and truncated validation sequences have shape: (1523, 30)\n","\n"]}],"source":["EMBEDDING_DIM = 100\n","MAXLEN = 30\n","TRUNCATING = 'post'\n","PADDING = 'post'\n","train_pad_trunc_seq = seq_pad_and_trunc(x_train, tokenizer, PADDING, TRUNCATING, MAXLEN)\n","val_pad_trunc_seq = seq_pad_and_trunc(x_val, tokenizer, PADDING, TRUNCATING, MAXLEN)\n","\n","print(f\"Padded and truncated training sequences have shape: {train_pad_trunc_seq.shape}\\n\")\n","print(f\"Padded and truncated validation sequences have shape: {val_pad_trunc_seq.shape}\\n\")"]},{"cell_type":"code","execution_count":41,"id":"095768dd","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:01.660788Z","iopub.status.busy":"2022-04-09T09:01:01.660062Z","iopub.status.idle":"2022-04-09T09:01:01.666077Z","shell.execute_reply":"2022-04-09T09:01:01.665383Z","shell.execute_reply.started":"2022-04-09T07:58:21.815514Z"},"papermill":{"duration":0.11805,"end_time":"2022-04-09T09:01:01.666225","exception":false,"start_time":"2022-04-09T09:01:01.548175","status":"completed"},"tags":[]},"outputs":[],"source":["train_labels = np.array(y_train)\n","val_labels = np.array(y_val)"]},{"cell_type":"markdown","id":"fc75d893","metadata":{"papermill":{"duration":0.113802,"end_time":"2022-04-09T09:01:01.887715","exception":false,"start_time":"2022-04-09T09:01:01.773913","status":"completed"},"tags":[]},"source":["## Using pre-defined Embeddings 6b100d"]},{"cell_type":"code","execution_count":42,"id":"148fafd4","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:02.135012Z","iopub.status.busy":"2022-04-09T09:01:02.134229Z","iopub.status.idle":"2022-04-09T09:01:15.621267Z","shell.execute_reply":"2022-04-09T09:01:15.620568Z","shell.execute_reply.started":"2022-04-09T07:58:21.821266Z"},"papermill":{"duration":13.598141,"end_time":"2022-04-09T09:01:15.62146","exception":false,"start_time":"2022-04-09T09:01:02.023319","status":"completed"},"tags":[]},"outputs":[],"source":["# Define path to file containing the embeddings\n","GLOVE_FILE = '../input/glove6b100dtxt/glove.6B.100d.txt'\n","\n","# Initialize an empty embeddings index dictionary\n","GLOVE_EMBEDDINGS = {}\n","\n","# Read file and fill GLOVE_EMBEDDINGS with its contents\n","with open(GLOVE_FILE) as f:\n","    for line in f:\n","        values = line.split()\n","        word = values[0]\n","        coefs = np.asarray(values[1:], dtype='float32')\n","        GLOVE_EMBEDDINGS[word] = coefs"]},{"cell_type":"code","execution_count":43,"id":"bfb7e5e1","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:15.84443Z","iopub.status.busy":"2022-04-09T09:01:15.84352Z","iopub.status.idle":"2022-04-09T09:01:15.847206Z","shell.execute_reply":"2022-04-09T09:01:15.848238Z","shell.execute_reply.started":"2022-04-09T07:58:30.831803Z"},"papermill":{"duration":0.118202,"end_time":"2022-04-09T09:01:15.848446","exception":false,"start_time":"2022-04-09T09:01:15.730244","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Vector representation of word dog looks like this:\n","\n","[ 0.30817    0.30938    0.52803   -0.92543   -0.73671    0.63475\n","  0.44197    0.10262   -0.09142   -0.56607   -0.5327     0.2013\n","  0.7704    -0.13983    0.13727    1.1128     0.89301   -0.17869\n"," -0.0019722  0.57289    0.59479    0.50428   -0.28991   -1.3491\n","  0.42756    1.2748    -1.1613    -0.41084    0.042804   0.54866\n","  0.18897    0.3759     0.58035    0.66975    0.81156    0.93864\n"," -0.51005   -0.070079   0.82819   -0.35346    0.21086   -0.24412\n"," -0.16554   -0.78358   -0.48482    0.38968   -0.86356   -0.016391\n","  0.31984   -0.49246   -0.069363   0.018869  -0.098286   1.3126\n"," -0.12116   -1.2399    -0.091429   0.35294    0.64645    0.089642\n","  0.70294    1.1244     0.38639    0.52084    0.98787    0.79952\n"," -0.34625    0.14095    0.80167    0.20987   -0.86007   -0.15308\n","  0.074523   0.40816    0.019208   0.51587   -0.34428   -0.24525\n"," -0.77984    0.27425    0.22418    0.20164    0.017431  -0.014697\n"," -1.0235    -0.39695   -0.0056188  0.30569    0.31748    0.021404\n","  0.11837   -0.11319    0.42456    0.53405   -0.16717   -0.27185\n"," -0.6255     0.12883    0.62529   -0.52086  ]\n"]}],"source":["test_word = 'dog'\n","\n","test_vector = GLOVE_EMBEDDINGS[test_word]\n","\n","print(f\"Vector representation of word {test_word} looks like this:\\n\\n{test_vector}\")"]},{"cell_type":"code","execution_count":44,"id":"3ab6b97c","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:16.071068Z","iopub.status.busy":"2022-04-09T09:01:16.070247Z","iopub.status.idle":"2022-04-09T09:01:16.074069Z","shell.execute_reply":"2022-04-09T09:01:16.073461Z","shell.execute_reply.started":"2022-04-09T07:58:30.840818Z"},"papermill":{"duration":0.116177,"end_time":"2022-04-09T09:01:16.074214","exception":false,"start_time":"2022-04-09T09:01:15.958037","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["400000"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["len(GLOVE_EMBEDDINGS)"]},{"cell_type":"code","execution_count":45,"id":"813fd978","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:16.296392Z","iopub.status.busy":"2022-04-09T09:01:16.295692Z","iopub.status.idle":"2022-04-09T09:01:16.29894Z","shell.execute_reply":"2022-04-09T09:01:16.299427Z","shell.execute_reply.started":"2022-04-09T07:58:30.857193Z"},"papermill":{"duration":0.115803,"end_time":"2022-04-09T09:01:16.299616","exception":false,"start_time":"2022-04-09T09:01:16.183813","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Each word vector has shape: (100,)\n"]}],"source":["print(f\"Each word vector has shape: {test_vector.shape}\")"]},{"cell_type":"code","execution_count":46,"id":"53618593","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:16.520613Z","iopub.status.busy":"2022-04-09T09:01:16.516811Z","iopub.status.idle":"2022-04-09T09:01:16.556203Z","shell.execute_reply":"2022-04-09T09:01:16.55557Z","shell.execute_reply.started":"2022-04-09T07:58:30.867484Z"},"papermill":{"duration":0.149698,"end_time":"2022-04-09T09:01:16.556363","exception":false,"start_time":"2022-04-09T09:01:16.406665","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Converted 7603 words (8584 misses)\n"]}],"source":["hits = 0\n","misses = 0\n","# Prepare embedding matrix\n","EMBEDDINGS_MATRIX = np.zeros((VOCAB_SIZE+1, EMBEDDING_DIM))\n","for word, i in word_index.items():\n","    embedding_vector = GLOVE_EMBEDDINGS.get(word)\n","    if embedding_vector is not None:\n","        # Words not found in embedding index will be all-zeros.\n","        # This includes the representation for \"padding\" and \"OOV\"\n","        EMBEDDINGS_MATRIX[i] = embedding_vector\n","        hits += 1\n","    else:\n","        misses += 1\n","print(\"Converted %d words (%d misses)\" % (hits, misses))"]},{"cell_type":"markdown","id":"e3cf3a8e","metadata":{"papermill":{"duration":0.107233,"end_time":"2022-04-09T09:01:16.770874","exception":false,"start_time":"2022-04-09T09:01:16.663641","status":"completed"},"tags":[]},"source":["## Create function ROC evaluation"]},{"cell_type":"code","execution_count":47,"id":"c16088f6","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:16.993121Z","iopub.status.busy":"2022-04-09T09:01:16.992045Z","iopub.status.idle":"2022-04-09T09:01:16.994889Z","shell.execute_reply":"2022-04-09T09:01:16.994236Z","shell.execute_reply.started":"2022-04-09T08:21:27.343438Z"},"papermill":{"duration":0.116119,"end_time":"2022-04-09T09:01:16.995028","exception":false,"start_time":"2022-04-09T09:01:16.878909","status":"completed"},"tags":[]},"outputs":[],"source":["def roc_auc(predictions,target):\n","    '''\n","    This methods returns the AUC Score when given the Predictions\n","    and Labels\n","    '''\n","    \n","    fpr, tpr, thresholds = metrics.roc_curve(target, predictions)\n","    roc_auc = metrics.auc(fpr, tpr)\n","    return roc_auc"]},{"cell_type":"markdown","id":"ae4cfd22","metadata":{"papermill":{"duration":0.109569,"end_time":"2022-04-09T09:01:17.211865","exception":false,"start_time":"2022-04-09T09:01:17.102296","status":"completed"},"tags":[]},"source":["# LSTM"]},{"cell_type":"code","execution_count":48,"id":"508c9fd7","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:17.431372Z","iopub.status.busy":"2022-04-09T09:01:17.430292Z","iopub.status.idle":"2022-04-09T09:01:17.437241Z","shell.execute_reply":"2022-04-09T09:01:17.437856Z","shell.execute_reply.started":"2022-04-09T08:21:27.445338Z"},"papermill":{"duration":0.118769,"end_time":"2022-04-09T09:01:17.438045","exception":false,"start_time":"2022-04-09T09:01:17.319276","status":"completed"},"tags":[]},"outputs":[],"source":["def LSTM(vocab_size, embedding_dim, maxlen, embeddings_matrix):\n","    LSTM_model = tf.keras.Sequential([ \n","        # This is how you need to set the Embedding layer when using pre-trained embeddings\n","        tf.keras.layers.Embedding(VOCAB_SIZE+1, EMBEDDING_DIM, input_length=MAXLEN, weights=[EMBEDDINGS_MATRIX], trainable=False),\n","        tf.keras.layers.LSTM(64),\n","        tf.keras.layers.Dense(1, activation='sigmoid'),\n","])\n","    LSTM_model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n","    return LSTM_model"]},{"cell_type":"code","execution_count":49,"id":"f30b63c7","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:17.657434Z","iopub.status.busy":"2022-04-09T09:01:17.656438Z","iopub.status.idle":"2022-04-09T09:01:18.107996Z","shell.execute_reply":"2022-04-09T09:01:18.108519Z","shell.execute_reply.started":"2022-04-09T08:21:27.635736Z"},"papermill":{"duration":0.562783,"end_time":"2022-04-09T09:01:18.108718","exception":false,"start_time":"2022-04-09T09:01:17.545935","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["2022-04-09 09:01:17.704833: I tensorflow/core/common_runtime/process_util.cc:146] Creating new thread pool with default inter op setting: 2. Tune using inter_op_parallelism_threads for best performance.\n"]},{"name":"stdout","output_type":"stream","text":["Model: \"sequential\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","embedding (Embedding)        (None, 30, 100)           1618800   \n","_________________________________________________________________\n","lstm (LSTM)                  (None, 64)                42240     \n","_________________________________________________________________\n","dense (Dense)                (None, 1)                 65        \n","=================================================================\n","Total params: 1,661,105\n","Trainable params: 42,305\n","Non-trainable params: 1,618,800\n","_________________________________________________________________\n"]}],"source":["LSTM_model = LSTM(VOCAB_SIZE, EMBEDDING_DIM, MAXLEN, EMBEDDINGS_MATRIX)\n","LSTM_model.summary()"]},{"cell_type":"code","execution_count":50,"id":"fe5fd14a","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:01:18.332663Z","iopub.status.busy":"2022-04-09T09:01:18.331953Z","iopub.status.idle":"2022-04-09T09:03:42.408793Z","shell.execute_reply":"2022-04-09T09:03:42.408137Z","shell.execute_reply.started":"2022-04-09T08:21:27.898306Z"},"papermill":{"duration":144.188686,"end_time":"2022-04-09T09:03:42.408959","exception":false,"start_time":"2022-04-09T09:01:18.220273","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["2022-04-09 09:01:18.392257: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)\n"]},{"name":"stdout","output_type":"stream","text":["Epoch 1/30\n","96/96 [==============================] - 6s 38ms/step - loss: 0.5488 - accuracy: 0.7404 - val_loss: 0.5100 - val_accuracy: 0.7603\n","Epoch 2/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.4773 - accuracy: 0.7872 - val_loss: 0.4979 - val_accuracy: 0.7814\n","Epoch 3/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.4619 - accuracy: 0.7949 - val_loss: 0.4784 - val_accuracy: 0.7905\n","Epoch 4/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.4454 - accuracy: 0.8080 - val_loss: 0.4761 - val_accuracy: 0.7938\n","Epoch 5/30\n","96/96 [==============================] - 3s 32ms/step - loss: 0.4325 - accuracy: 0.8126 - val_loss: 0.4874 - val_accuracy: 0.7820\n","Epoch 6/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.4211 - accuracy: 0.8200 - val_loss: 0.4832 - val_accuracy: 0.7768\n","Epoch 7/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.4023 - accuracy: 0.8315 - val_loss: 0.4787 - val_accuracy: 0.7794\n","Epoch 8/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.3890 - accuracy: 0.8397 - val_loss: 0.5065 - val_accuracy: 0.7905\n","Epoch 9/30\n","96/96 [==============================] - 3s 33ms/step - loss: 0.3754 - accuracy: 0.8432 - val_loss: 0.4803 - val_accuracy: 0.8017\n","Epoch 10/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.3470 - accuracy: 0.8560 - val_loss: 0.5152 - val_accuracy: 0.7859\n","Epoch 11/30\n","96/96 [==============================] - 4s 38ms/step - loss: 0.3352 - accuracy: 0.8654 - val_loss: 0.5058 - val_accuracy: 0.7984\n","Epoch 12/30\n","96/96 [==============================] - 3s 32ms/step - loss: 0.3083 - accuracy: 0.8826 - val_loss: 0.5389 - val_accuracy: 0.7965\n","Epoch 13/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.2978 - accuracy: 0.8883 - val_loss: 0.5208 - val_accuracy: 0.7925\n","Epoch 14/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.2740 - accuracy: 0.8949 - val_loss: 0.5287 - val_accuracy: 0.7879\n","Epoch 15/30\n","96/96 [==============================] - 3s 32ms/step - loss: 0.2719 - accuracy: 0.8952 - val_loss: 0.5963 - val_accuracy: 0.7827\n","Epoch 16/30\n","96/96 [==============================] - 3s 32ms/step - loss: 0.2543 - accuracy: 0.9046 - val_loss: 0.5728 - val_accuracy: 0.7787\n","Epoch 17/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.2436 - accuracy: 0.9107 - val_loss: 0.5624 - val_accuracy: 0.7879\n","Epoch 18/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.2254 - accuracy: 0.9189 - val_loss: 0.6595 - val_accuracy: 0.7873\n","Epoch 19/30\n","96/96 [==============================] - 3s 34ms/step - loss: 0.2162 - accuracy: 0.9232 - val_loss: 0.6118 - val_accuracy: 0.7754\n","Epoch 20/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.2120 - accuracy: 0.9230 - val_loss: 0.5602 - val_accuracy: 0.7859\n","Epoch 21/30\n","96/96 [==============================] - 3s 35ms/step - loss: 0.2002 - accuracy: 0.9289 - val_loss: 0.6653 - val_accuracy: 0.7794\n","Epoch 22/30\n","96/96 [==============================] - 3s 34ms/step - loss: 0.1786 - accuracy: 0.9394 - val_loss: 0.6952 - val_accuracy: 0.7735\n","Epoch 23/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.1910 - accuracy: 0.9319 - val_loss: 0.7074 - val_accuracy: 0.7715\n","Epoch 24/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.1577 - accuracy: 0.9494 - val_loss: 0.7322 - val_accuracy: 0.7774\n","Epoch 25/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.1482 - accuracy: 0.9537 - val_loss: 0.7681 - val_accuracy: 0.7814\n","Epoch 26/30\n","96/96 [==============================] - 3s 32ms/step - loss: 0.1382 - accuracy: 0.9567 - val_loss: 0.8249 - val_accuracy: 0.7505\n","Epoch 27/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.1458 - accuracy: 0.9540 - val_loss: 0.7300 - val_accuracy: 0.7748\n","Epoch 28/30\n","96/96 [==============================] - 3s 31ms/step - loss: 0.1419 - accuracy: 0.9542 - val_loss: 0.7640 - val_accuracy: 0.7827\n","Epoch 29/30\n","96/96 [==============================] - 3s 33ms/step - loss: 0.1485 - accuracy: 0.9525 - val_loss: 0.8932 - val_accuracy: 0.7498\n","Epoch 30/30\n","96/96 [==============================] - 3s 32ms/step - loss: 0.1228 - accuracy: 0.9622 - val_loss: 0.9173 - val_accuracy: 0.7531\n"]}],"source":["historyLstm = LSTM_model.fit(x = train_pad_trunc_seq, validation_data=(val_pad_trunc_seq, val_labels), y = train_labels, epochs = 30, batch_size=64)"]},{"cell_type":"code","execution_count":51,"id":"51f60b17","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:03:43.70877Z","iopub.status.busy":"2022-04-09T09:03:43.707722Z","iopub.status.idle":"2022-04-09T09:03:43.931238Z","shell.execute_reply":"2022-04-09T09:03:43.931725Z","shell.execute_reply.started":"2022-04-09T08:23:13.704698Z"},"papermill":{"duration":0.875902,"end_time":"2022-04-09T09:03:43.931903","exception":false,"start_time":"2022-04-09T09:03:43.056001","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["#-----------------------------------------------------------\n","# Retrieve a list of list results on training and test data\n","# sets for each training epoch\n","#-----------------------------------------------------------\n","loss = historyLstm.history['loss']\n","val_loss = historyLstm.history['val_loss']\n","epochs = [*range(30)]\n","\n","#------------------------------------------------\n","# Plot training and validation loss per epoch\n","#------------------------------------------------\n","plt.plot(epochs, loss, 'r')\n","plt.plot(epochs, val_loss, 'b')\n","plt.title('Training and validation loss')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Loss\")\n","plt.legend([\"Loss\", \"Validation Loss\"])\n","plt.show()"]},{"cell_type":"code","execution_count":52,"id":"7a890acc","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:03:45.232602Z","iopub.status.busy":"2022-04-09T09:03:45.231632Z","iopub.status.idle":"2022-04-09T09:03:45.439448Z","shell.execute_reply":"2022-04-09T09:03:45.438868Z","shell.execute_reply.started":"2022-04-09T08:23:13.869032Z"},"papermill":{"duration":0.860231,"end_time":"2022-04-09T09:03:45.439645","exception":false,"start_time":"2022-04-09T09:03:44.579414","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAYkAAAEWCAYAAACT7WsrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAABAuUlEQVR4nO3dd3hU1dbA4d8ilNCkX0CKoIhSQqSLgoBYUKmC0hFRQVSu/bNe5SJey8WGigIqCCIIKIiionQVlA4KioLglaIiEIqhJJn1/bFPwhBSJslMJpms93nmycyZU9aZgbNml7O3qCrGGGNMWgqFOwBjjDF5lyUJY4wx6bIkYYwxJl2WJIwxxqTLkoQxxph0WZIwxhiTLksSJmAi8qmI3BDsdcNJRHaIyGUh2K+KSB3v+esi8q9A1s3GcfqJyOfZjdOYzIjdJxHZROSI38sSwHEgyXs9VFWn5n5UeYeI7ABuVtUFQd6vAueq6tZgrSsitYDtQBFVTQxKoMZkonC4AzChpaqlkp9ndEEUkcJ24TF5hf17zDusuqmAEpF2IrJTRB4Qkd+BiSJSTkQ+FpG9InLAe17db5slInKz93yQiHwlIqO9dbeLyFXZXLe2iCwTkcMiskBEXhWRd9KJO5AYnxCRr739fS4iFf3eHyAiv4rIPhF5JIPPp6WI/C4iUX7LuovIRu95CxFZISJxIrJHRF4RkaLp7GuSiIzye32/t81uERmcat1rRGSdiBwSkd9EZITf28u8v3EickREWiV/tn7bXyQiq0TkoPf3okA/myx+zuVFZKJ3DgdEZI7fe11FZL13DttEpKO3/JSqPREZkfw9i0gtr9rtJhH5H7DIWz7T+x4Oev9GGvhtX1xEnvO+z4Pev7HiIjJPRIanOp+NItI9rXM1GbMkUbBVAcoDZwFDcP8eJnqvawJHgVcy2L4lsAWoCDwLvCkiko113wVWAhWAEcCADI4ZSIx9gRuBfwBFgfsARKQ+8Jq3/zO941UnDar6LfA3cGmq/b7rPU8C7vbOpxXQAbgtg7jxYujoxXM5cC6Quj3kb2AgUBa4BhgmIt289y7x/pZV1VKquiLVvssD84Ax3rk9D8wTkQqpzuG0zyYNmX3OU3DVlw28fb3gxdACmAzc753DJcCOdI6RlrZAPeBK7/WnuM/pH8BawL96dDTQFLgI9+/4/wAf8DbQP3klEYkFquE+G5NVqmqPAvLA/We9zHveDjgBRGew/gXAAb/XS3DVVQCDgK1+75UAFKiSlXVxF6BEoITf++8A7wR4TmnF+Kjf69uAz7znjwHT/d4r6X0Gl6Wz71HAW97z0rgL+FnprHsXMNvvtQJ1vOeTgFHe87eAp/3Wq+u/bhr7fRF4wXtey1u3sN/7g4CvvOcDgJWptl8BDMrss8nK5wxUxV2My6Wx3rjkeDP69+e9HpH8Pfud29kZxFDWW6cMLokdBWLTWC8aOIBr5wGXTMaG4v9UQXhYSaJg26uqx5JfiEgJERnnFd8P4ao3yvpXuaTye/ITVY33npbK4rpnAvv9lgH8ll7AAcb4u9/zeL+YzvTft6r+DexL71i4UsO1IlIMuBZYq6q/enHU9apgfvfi+A+uVJGZU2IAfk11fi1FZLFXzXMQuDXA/Sbv+9dUy37F/YpOlt5nc4pMPucauO/sQBqb1gC2BRhvWlI+GxGJEpGnvSqrQ5wskVT0HtFpHcv7N/0e0F9ECgF9cCUfkw2WJAq21F3b7gXOA1qq6hmcrN5IrwopGPYA5UWkhN+yGhmsn5MY9/jv2ztmhfRWVtXNuIvsVZxa1QSu2upH3K/VM4CHsxMDriTl711gLlBDVcsAr/vtN7OuiLtx1UP+agK7AogrtYw+599w31nZNLb7DTgnnX3+jStFJquSxjr+59gX6IqrkiuDK20kx/AXcCyDY70N9MNVA8Zrqqo5EzhLEsZfaVwRPs6r33481Af0fpmvBkaISFERaQV0DlGMs4BOItLaa2QeSeb/B94F7sRdJGemiuMQcEREzgeGBRjDDGCQiNT3klTq+EvjfqUf8+r3+/q9txdXzXN2Ovv+BKgrIn1FpLCI9ALqAx8HGFvqONL8nFV1D66tYKzXwF1ERJKTyJvAjSLSQUQKiUg17/MBWA/09tZvBvQMIIbjuNJeCVxpLTkGH67q7nkROdMrdbTySn14ScEHPIeVInLEkoTx9yJQHPcr7Rvgs1w6bj9c4+8+XDvAe7iLQ1peJJsxquom4HbchX8Prt56ZyabTcM1pi5S1b/8lt+Hu4AfBiZ4MQcSw6feOSwCtnp//d0GjBSRw7g2lBl+28YDTwJfi+tVdWGqfe8DOuFKAftwDbmdUsUdqBfJ+HMeACTgSlN/4tpkUNWVuIbxF4CDwFJOlm7+hfvlfwD4N6eWzNIyGVeS2wVs9uLwdx/wHbAK2A88w6nXtMlADK6Ny2ST3Uxn8hwReQ/4UVVDXpIxkUtEBgJDVLV1uGPJz6wkYcJORJqLyDle9URHXD30nDCHZfIxryrvNmB8uGPJ7yxJmLygCq575hFcH/9hqrourBGZfEtErsS13/xB5lVaJhNW3WSMMSZdVpIwxhiTrogZ4K9ixYpaq1atcIdhjDH5ypo1a/5S1UrpvR8xSaJWrVqsXr063GEYY0y+IiKp79I/hVU3GWOMSZclCWOMMemyJGGMMSZdEdMmkZaEhAR27tzJsWPHMl/ZFBjR0dFUr16dIkWKhDsUY/K8iE4SO3fupHTp0tSqVYv058IxBYmqsm/fPnbu3Ent2rXDHY4xeV5EVzcdO3aMChUqWIIwKUSEChUqWOnSmABFdJIALEGY09i/CWMCF/FJwhhjItrcufD22yHbvSWJXDJnzhxEhB9//DHcoRhjIoEqPPUUdOsG48eDzxeSw1iSyCXTpk2jdevWTJs2LWTHSEpKCtm+jTF5yNGj0K8fPPww9O4NCxZAodBczi1J5IIjR47w1Vdf8eabbzJ9+nTAXdDvu+8+GjZsSKNGjXj55ZcBWLVqFRdddBGxsbG0aNGCw4cPM2nSJO64446U/XXq1IklS5YAUKpUKe69915iY2NZsWIFI0eOpHnz5jRs2JAhQ4aQPMrv1q1bueyyy4iNjaVJkyZs27aNgQMHMmfOnJT99uvXjw8//DB3PhRjTPbs2gVt2sD06fCf/8DUqVC8eMgOF9FdYE9x112wfn1w93nBBfDii5mu9uGHH9KxY0fq1q1LhQoVWLNmDStXrmTHjh2sX7+ewoULs3//fk6cOEGvXr147733aN68OYcOHaJ4Jl/+33//TcuWLXnuuecAqF+/Po899hgAAwYM4OOPP6Zz587069ePBx98kO7du3Ps2DF8Ph833XQTL7zwAt26dePgwYMsX76ct0NYt2mMyaFvv3XVS0eOwJw50KVLyA9pJYlcMG3aNHr37g1A7969mTZtGgsWLGDo0KEULuzydPny5dmyZQtVq1alefPmAJxxxhkp76cnKiqKHj16pLxevHgxLVu2JCYmhkWLFrFp0yYOHz7Mrl276N69O+BuJitRogRt27bl559/Zu/evUybNo0ePXpkejxjIp4qbNoEr74Kzz8PX38NeaHL9DvvQNu2rtSwYkWuJAgoSCWJAH7xh8L+/ftZtGgR3333HSJCUlISIpKSCAJRuHBhfH6NUv59/KOjo4mKikpZftttt7F69Wpq1KjBiBEjMr0fYODAgbzzzjtMnz6diRMnZvHsjIkAqvDDD7BkCSxeDEuXwt69p65TpAg0aQKtWp181KiRO/ElJcFDD8F//wvt2sHMmVCxYu4cm4KUJMJk1qxZDBgwgHHjxqUsa9u2LbGxsYwbN4727dunVDedd9557Nmzh1WrVtG8eXMOHz5M8eLFqVWrFmPHjsXn87Fr1y5WrlyZ5rGSE0LFihU5cuQIs2bNomfPnpQuXZrq1aszZ84cunXrxvHjx0lKSqJEiRIMGjSIFi1aUKVKFerXr58rn4kxYaUKP/54alL480/3Xo0acNVV7mLcrh2UKAHffON+uS9fDuPGnfzBWa3ayYTRvDlER7sLemLiyb/+z5P/li4NderAWWe55JORQ4egb1+YNw+GDYOXXsp8myCzJBFi06ZN44EHHjhlWY8ePfjhhx+oWbMmjRo1okiRItxyyy3ccccdvPfeewwfPpyjR49SvHhxFixYwMUXX0zt2rWpX78+9erVo0mTJmkeq2zZstxyyy00bNiQKlWqnFJamTJlCkOHDuWxxx6jSJEizJw5k7PPPpvKlStTr149unXrFsqPwZjwUoU1a2DKFJgxA37/3S2vXh2uvPJkUqhdG1LfbNm1q3sAJCTAhg0uaSQ/Zs3KXkxRUS5R1KnjHuecc/J57dqugbpLF/j5Zxg71iWJMAjpHNci0hF4CYgC3lDVp1O9fxbwFlAJ2A/0V9Wd3ntJwHfeqv9T1Qwr4Jo1a6apJx364YcfqFevXjBOJWLFx8cTExPD2rVrKVOmTLjDyTX2b6OA+PVX1/tnyhRXeihWDDp1OllaOPvs05NCVu3Z4zrF+Hzuwl+4cMZ/4+Jg2zbYutU9kp8fOHDqfosUcaWOWbOgffucxZgBEVmjqs3Sez9kJQkRiQJeBS4HdgKrRGSuqm72W200MFlV3xaRS4GngAHee0dV9YJQxWdgwYIF3HTTTdx9990FKkGYCBcX5y6sU6bAsmVuWZs2cM89cN11ULZscI9Xtap7ZEXr1qcv27//ZMLYtg327YPhw10iC6NQVje1ALaq6i8AIjId6Ar4J4n6wD3e88XAnBDGY1K57LLL+PXXDGcuNCZ/SEiAzz5ziWHuXDh+HM47D0aNcjed1aoV7ggzV768e2ShU0tuCGWSqAb85vd6J9Ay1TobgGtxVVLdgdIiUkFV9wHRIrIaSASeVtU5qQ8gIkOAIQA1a9YM+gkYY/IBnw86d4b586FSJRg6FPr3h2bNcl6VZMLecH0f8IqIDAKWAbuA5LElzlLVXSJyNrBIRL5T1W3+G6vqeGA8uDaJ3AvbGJNnjBvnEsQzz8Ddd+d6759IF8oksQvw70hc3VuWQlV340oSiEgpoIeqxnnv7fL+/iIiS4DGwClJwhhTwG3fDvffD1dc4f5aySHoQnnH9SrgXBGpLSJFgd7AXP8VRKSiiCTH8BCupxMiUk5EiiWvA1zMqW0ZxpiCzueDwYNdj6E33rAEESIhSxKqmgjcAcwHfgBmqOomERkpIsndWdsBW0TkJ6Ay8KS3vB6wWkQ24Bq0n07VKypfaN++PfPnzz9l2YsvvsiwDPo7t2vXjuSuvFdffTVxcXGnrTNixAhGjx6d4bHnzJnD5s0nP7LHHnuMBQsWZCH6jN11111Uq1btlDvBjclVY8e6G+Kefz737n4ugELaJqGqnwCfpFr2mN/zWcBpd6Ko6nIgJpSx5YY+ffowffp0rrzyypRl06dP59lnnw1o+08++STzldIxZ84cOnXqlHIX9ciRI7O9r9R8Ph+zZ8+mRo0aLF26lPYh6sOdmJhoY0mZtG3bBg88AB07utKECRkb4C+Eevbsybx58zhx4gQAO3bsYPfu3bRp04Zhw4bRrFkzGjRowOOPP57m9rVq1eKvv/4C4Mknn6Ru3bq0bt2aLVu2pKwzYcIEmjdvTmxsLD169CA+Pp7ly5czd+5c7r//fi644AK2bdvGoEGDmOXdGbpw4UIaN25MTEwMgwcP5vjx4ynHe/zxx2nSpAkxMTHpTpC0ZMkSGjRowLBhw06ZH+OPP/6ge/fuxMbGEhsby/LlywGYPHkyjRo1IjY2lgED3G0w/vGAG/I8ed9t2rShS5cuKQmuW7duNG3alAYNGjB+/PiUbT777DOaNGlCbGwsHTp0wOfzce6557LXG3fH5/NRp06dlNcmQvh8cOONroF6wgSrZgqxAvMzLRwjhZcvX54WLVrw6aef0rVrV6ZPn87111+PiPDkk09Svnx5kpKS6NChAxs3bqRRo0Zp7mfNmjVMnz6d9evXk5iYSJMmTWjatCkA1157LbfccgsAjz76KG+++SbDhw+nS5cudOrUiZ49e56yr2PHjjFo0CAWLlxI3bp1GThwIK+99hp33XUX4MZ9Wrt2LWPHjmX06NG88cYbp8Uzbdo0+vTpQ9euXXn44YdJSEigSJEi/POf/6Rt27bMnj2bpKQkjhw5wqZNmxg1ahTLly+nYsWK7N+/P9PPde3atXz//ffUrl0bgLfeeovy5ctz9OhRmjdvTo8ePfD5fNxyyy0sW7aM2rVrs3//fgoVKkT//v2ZOnUqd911FwsWLCA2NpZKlSplekyTj7z8Mnz5JUyc6IbVMCFlJYkQS65yAlfV1KdPHwBmzJhBkyZNaNy4MZs2bTql/SC1L7/8ku7du1OiRAnOOOMMuvgNEfz999/Tpk0bYmJimDp1Kps2bcowni1btlC7dm3q1q0LwA033MCy5LtScUkHoGnTpuzYseO07U+cOMEnn3xCt27dOOOMM2jZsmVKu8uiRYtS2luioqIoU6YMixYt4rrrrqOiN2pl+fLlM4wPoEWLFikJAmDMmDHExsZy4YUX8ttvv/Hzzz/zzTffcMkll6Ssl7zfwYMHM3nyZMAllxtvvDHT45lcduyYG7guO37+2Y2Ies01cMMNwY3LpKnAlCTCNFI4Xbt25e6772bt2rXEx8fTtGlTtm/fzujRo1m1ahXlypVj0KBBmQ7pnZ5BgwYxZ84cYmNjmTRpUsqMddlVrFgxwF3kExMTT3t//vz5xMXFERPjmozi4+MpXrw4nTp1ytJx/Ic/9/l8KVVyACVLlkx5vmTJEhYsWMCKFSsoUaIE7dq1y/CzqlGjBpUrV2bRokWsXLmSqVOnZikuE2I7drh2hN9/d0Nf33xz4NVFSUmumqlYMTens1Uz5QorSYRYqVKlaN++PYMHD04pRRw6dIiSJUtSpkwZ/vjjDz799NMM93HJJZcwZ84cjh49yuHDh/noo49S3jt8+DBVq1YlISHhlAti6dKlOXz48Gn7Ou+889ixYwdbt24F3Oiwbdu2Dfh8pk2bxhtvvMGOHTvYsWMH27dv54svviA+Pp4OHTrw2muvAW561oMHD3LppZcyc+ZM9u3bB5BS3VSrVi3WrFkDwNy5c0lISEjzeAcPHqRcuXKUKFGCH3/8kW+++QaACy+8kGXLlrF9+/ZT9gtw8803079/f6677rqUuTZMHrBunRtW+48/ICYGhgyBSy91pYNAvPSSmwBozBg488zQxmpSWJLIBX369GHDhg0pSSI2NpbGjRtz/vnn07dvXy6++OIMt2/SpAm9evUiNjaWq6666pQhwJ944glatmzJxRdfzPnnn5+yvHfv3vz3v/+lcePGbNt28h7E6OhoJk6cyHXXXUdMTAyFChXi1ltvDeg84uPj+eyzz7jmmmtSlpUsWZLWrVvz0Ucf8dJLL7F48WJiYmJo2rQpmzdvpkGDBjzyyCMpc2jcc48bquuWW25h6dKlKXNz+5ce/HXs2JHExETq1avHgw8+yIUXXghApUqVGD9+PNdeey2xsbH06tUrZZsuXbpw5MgRq2rKSxYscLOqFSniLvTLlrlG53XrXMJ4+mk3/lJ6tmyBRx5xQ2f37597cRtQ1Yh4NG3aVFPbvHnzactM5Fu1apW2bt06w3Xs30Yueucd1cKFVWNiVHfuPPW93btVe/RQBdULLlBdvfr07RMTVVu1Ui1Xzq1vggpYrRlcW60kYSLK008/TY8ePXjqqafCHYpRhWefdb/8W7d2PZKqVTt1napV3bDeH3zgqqFatHDDa8THn1znhRfc5D6vvJL1IblNjoV00qHcZJMOmaywfxshlpTk5m8YMwZ69YK333YNzhmJi3M3yI0f72ZmGz/eJZXGjeHqq+H9962xOgQym3Qo4ksSkZIETfDYv4kQO3YMevd2CeLuu+HddzNPEOAmAxo3zg21UbgwXH65a8coVQpee80SRJhEdJKIjo5m3759dlEwKVSVffv2ER0dHe5QItOBA27O6Fmz4Lnn3LhKhbJ4mWnb1s0j/fDDcOQIvP46VK4cmnhNpiK6uikhIYGdO3dm+x4EE5mio6OpXr06RWzegeD67Tc3d/RPP8Hkya40kVM+X9aTjMmSsM1xnRcUKVLklDt3jTEhkJQE06e79oTDh900opdeGpx9W4IIO/sGjDHZk5QEU6dCgwauB1OFCu7+h2AlCJMnWJIwxmRNUpJrjE5ODkWLujaIdesgNjbc0ZkgsyRhjAlMUhJMmwYNG0K/fu7u6Zkz3fDKPXpY1VCEsm/VGJOx5DaHmBjo29d1T5050/VA6tnTkkOEi+iGa2NMKkePwty57nH8uJsfunDh0/8mP4+Kcg3Rmze76qUZM6zUUMBYkjAm0vl8sHQpTJni2g4OH3b3HVSo4EoJiYmn//V/XqcOvPeelRoKKEsSxkSqTZtcYpg6FXbudHcu9+wJAwa4G9ZsGHUTAEsSxkSSPXtc4/KUKa5BOSrK3QH93/+6YbZLlAh3hCafsSRhTCSIi3MTuU+Z4qqXmjVz0zH27m1DWpgcsSRhTH63eLGb73n3brjzTrjlFrARbk2QWJIwJr86dgwefdQNolenjpvxrWXLcEdlIowlCWPyo40b3d3O330Hw4a5Nod0poA1JiesP5sx+UlSkksIzZvDn3/CvHkwdqwlCBMyVpIwJr/49VcYONANote9u5ugp1KlcEdlIpyVJIzJ61Td/AyNGrlB9CZOdFN5WoIwucCShDF52Y4dcN11rvdSo0ZuvKRBg2wqT5NrLEkYkxft3g233w5168LHH8NTT7m5n20SLZPLrE3CmLzkzz/hmWdcY3RiItx8MzzyCFSvHu7ITAFlScKYvODAARg9Gl56yY3UOmAAPPYYnH12uCMzBZwlCWPC6fBhlxhGj4aDB6FXLxgxAs4/P9yRGQNYkjAmPOLjXZXS00/Dvn3QtSuMHOkap43JQyxJGJPbtmxx9zn88IMboXXkSGjRItxRGZMmSxLG5Ka5c117Q9Gibsa3K68Md0TGZCikXWBFpKOIbBGRrSLyYBrvnyUiC0Vko4gsEZHqfu/dICI/e48bQhmnMSHn88Hjj7tqpXPPhTVrLEGYfCFkSUJEooBXgauA+kAfEamfarXRwGRVbQSMBJ7yti0PPA60BFoAj4tIuVDFakxIxcWdbHMYNAi+/BJq1gx3VMYEJJQliRbAVlX9RVVPANOBrqnWqQ8s8p4v9nv/SuALVd2vqgeAL4COIYzVmNDYtMm1N3z2Gbz6Krz1FhQvHu6ojAlYKJNENeA3v9c7vWX+NgDXes+7A6VFpEKA2yIiQ0RktYis3rt3b9ACNyYoZs1y8zscOuQmBrrtNhtOw+Q74R6W4z6grYisA9oCu4CkQDdW1fGq2kxVm1Wywc5MXpGUBA895MZciolx7Q+tW4c7KmOyJZS9m3YBNfxeV/eWpVDV3XglCREpBfRQ1TgR2QW0S7XtkhDGakxw7N8PffrA55/D0KHuRrlixcIdlTHZFsoksQo4V0Rq45JDb6Cv/woiUhHYr6o+4CHgLe+t+cB//Bqrr/DeNyZ3qcL8+bB0qZsu9Pjxk4/Ur48fh+3bXUP1hAlu3CVj8rmQJQlVTRSRO3AX/CjgLVXdJCIjgdWqOhdXWnhKRBRYBtzubbtfRJ7AJRqAkaq6P1SxGpOmDRvg3nth4UIoXNg1OEdHu5JBWo8yZaBNG7j/fptr2kQMUdVwxxAUzZo109WrV4c7DBMJdu+GRx+FSZOgXDl3f8Ott7ob4IyJMCKyRlWbpfe+3XFtTLIjR9z80aNHu2G6770XHn7YJQpjCihLEsYkJblSw7/+BXv2wPXXu0l+bJhuYyxJmALuiy/gvvtg40Zo1crNHd2qVbijMibPCPd9EsaEx8qVcNVVcMUVbk6HGTPg668tQRiTiiUJU7B89ZUbWK9lS5coRo92Q3Zfd53dDW1MGqy6yUQ+VTcsxhNPwJIlUKmSm0d62DAoXTrc0RmTp1mSMJFL1Q2sN2oULF8OVavCCy/AkCFQokS4ozMmX7AkYSKPqpvcZ9QoWL0aatRwI7AOHuxuhjPGBMyShIksy5e7aqSNG10X1gkTYOBAuxHOmGyyJGEix59/Qrdurirp7behb183nIYxJtvsf5CJDKpu6IyDB2HRImjYMNwRGRMRLEmYyPDOOzB7Njz7rCUIY4LI7pMw+d/OnTB8OFx8MdxzT7ijMSaiWJIw+Zsq3HQTJCS48ZeiosIdkTERxaqbTP72+utuFrixY6FOnXBHY0zEsZKEyb+2bnWD811xhWu0NsYEnSUJkz8lJcGgQVCkCLz5po27ZEyIZJokRKSziFgyMXnLc8+5UVtfeQWqVw93NMZErEAu/r2An0XkWRE5P9QBGZOp775zEwRdey306xfuaIyJaJkmCVXtDzQGtgGTRGSFiAwRERs+0+S+EyfcMBtlyrhGa6tmMiakAqpGUtVDwCxgOlAV6A6sFZHhIYzNmNONGgXr18P48W7Ib2NMSAXSJtFFRGYDS4AiQAtVvQqIBe4NbXjG+Fm1Cv7zH1eS6NYt3NEYUyAEcp9ED+AFVV3mv1BV40XkptCEZUwqR4+65FC1Krz0UrijMabACCRJjAD2JL8QkeJAZVXdoaoLQxWYMad4+GH48Uf44gsoWzbc0RhTYATSJjET8Pm9TvKWGRN6Ph+MGAEvvgi33w6XXRbuiIwpUAIpSRRW1RPJL1T1hIjYDC4m9A4ehP794eOP3Y1zo0eHOyJjCpxAShJ7RaRL8gsR6Qr8FbqQjAE2b4bmzd0c1a++Cm+9ZVOPGhMGgZQkbgWmisgrgAC/AQNDGpUp2N5/35UcSpaExYuhdetwR2RMgZVpklDVbcCFIlLKe30k5FGZgikpCR59FJ5+Gi68EGbNgmrVwh2VMQVaQEOFi8g1QAMgWrw7XFV1ZAjjMgXN/v3Qp48b9nvoUNfNtVixcEdlTIGXaZIQkdeBEkB74A2gJ7AyxHGZgmTDBujeHXbtggkT4Oabwx2RMcYTSMP1Rao6EDigqv8GWgF1QxuWKTDefRdatXJjMi1bZgnCmDwmkCRxzPsbLyJnAgm48ZuMyZl//9uN4tqsGaxZAy1bhjsiY0wqgSSJj0SkLPBfYC2wA3g3hDGZguCFF9xNcoMGwcKFULlyuCMyxqQhwzYJb7KhhaoaB7wvIh8D0ap6MDeCMxFq8mS45x7o0QPeeAOiosIdkTEmHRmWJFTVB7zq9/p4VhKEiHQUkS0islVEHkzj/ZoislhE1onIRhG52lteS0SOish67/F6Fs7J5GUffQSDB0OHDjB1qiUIY/K4QLrALhSRHsAHqqqB7lhEonAJ5nJgJ7BKROaq6ma/1R4FZqjqayJSH/gEqOW9t01VLwj0eCYf+PJLuP56aNwYZs+2Lq7G5AOBtEkMxQ3od1xEDonIYRE5FMB2LYCtqvqLN/bTdKBrqnUUOMN7XgbYHWDcJr/ZsAE6d4azzoJPPoHSNrGhMflBINOXllbVQqpaVFXP8F6fkdl2QDXcEB7JdnrL/I0A+ovITlwpwn+mu9peNdRSEWmT1gG8aVRXi8jqvXv3BhCSCYtt2+DKK11i+Pxzm1HOmHwkkJvpLklreepJiLKpDzBJVZ8TkVbAFBFpiJu/oqaq7hORpsAcEWngTaPqH8N4YDxAs2bNAq4KM7lozx644gpISHDjMNWsGe6IjDFZEEibxP1+z6Nx1UhrgEsz2W4XUMPvdXVvmb+bgI4AqrpCRKKBiqr6J3DcW75GRLbhbuBbHUC8Jq+Ii4OOHeGPP1w313r1wh2RMSaLAhngr7P/axGpAbwYwL5XAeeKSG1ccugN9E21zv+ADsAkEamHS0J7RaQSsF9Vk0TkbOBc4JcAjmnyivh41wbxww8wb57dKGdMPhXQAH+p7AQy/UmoqokicgcwH4gC3lLVTSIyElitqnOBe4EJInI3rhF7kKqqV8U1UkQScLPi3aqq+7MRqwmHhATXi+nrr2H6dLj88nBHZIzJpkDaJF7GXcDBNXRfgLvzOlOq+gmuQdp/2WN+zzcDF6ex3fvA+4Ecw+Qxv/wCjzziSg9jx7pkYYzJtwIpSfi3AyQC01T16xDFY/KbhAT46iuXFObNgx9/dMtHjYJhw8IbmzEmxwJJErOAY6qaBO4mOREpoarxoQ3N5Fl//AGffuqSwuefw6FDULQotG0Lt94K11wDdeqEO0pjTBAEdMc1cBmQPCNdceBz4KJQBWXyoF9/hUmTXGJYtcotO/NMV510zTVw2WVQqlRYQzTGBF8gSSLaf8pSVT0iIiVCGJPJS1Rh4kS48074+2/XS+mJJ1xiuOAC8GYqNMZEpkCSxN8i0kRV1wJ4N7cdDW1YJk/YuxeGDIE5c6BdO5csatUKc1DGmNwUSJK4C5gpIrsBAaoAvUIZlMkD5s2Dm26CAwdg9Gi4+24oFMhQX8aYSBLIzXSrROR84Dxv0RZVTQhtWCZs/v4b7r0Xxo2DRo3giy8gJibcURljwiTTn4YicjtQUlW/V9XvgVIiclvoQzO57ttvXTvD+PFw//2wcqUlCGMKuEDqD27xZqYDQFUPALeELCKT+xIS3FSiF18MJ064gfiefdbmezDGBNQmESUikjzhkDeZUNHQhmVyzZYtMGCA69Y6cCCMGQNlyoQ7KmNMHhFIkvgMeE9ExnmvhwKfhi4kk2sWLoQuXSA6GmbOhJ49wx2RMSaPCSRJPAAMAW71Xm/E9XAy+dlnn0H37nDuue7u6Wqp54MyxpjAZqbzAd8CO3BzSVwK/BDasExIffQRdO3q5ndYvNgShDEmXemWJESkLm7muD7AX8B7AKraPndCMyHxwQfQqxc0bgzz50O5cuGOyBiTh2VU3fQj8CXQSVW3AnjzPpj86r33oF8/aNHCVTFZA7UxJhMZVTddi5trerGITBCRDrg7rk1+9M470Lev6+Y6f74lCGNMQNJNEqo6R1V7A+cDi3HDc/xDRF4TkStyKT4TDBMnuu6t7drBJ59A6dLhjsgYk08E0nD9t6q+6811XR1Yh+vxZPKD8eNh8GA3hejHH0PJkuGOyBiTj2RpxDZVPaCq41W1Q6gCMkH0yiswdKgb1vvDD6F48XBHZIzJZ2xYz0j1/PMwfLi7F+KDD9wNc8YYk0WWJCJNfLwbxfXee+G661yPpqI2iooxJnsCuePa5Bfz58OwYbB9u5tr+uWXobB9xcaY7LOSRCT44w/XvbVjR1dqWLIEXnvNEoQxJscsSeRnPh9MmADnnw/vv++G+96wAdq2DXdkxpgIYT8186vNm13Ppa++cknh9dddsjDGmCCykkR+c+wY/Otfbga5zZvdjXKLF1uCMMaEhJUk8gtVWLAAbrsNtm51EwU99xxUqhTuyIwxEcySRF63f78bd+mNN+C776BOHZcsOtj9jMaY0LMkkRf5fK6H0htvuBvhjh+H5s1du8PAgXbntDEm11iSyEt274ZJk+DNN+GXX6BsWRgyBG66CWJjwx2dMaYAsiQRbomJbmTWN96AefNcKaJ9e3jiCTekhpUajDFhZEkinE6ccNOIfvYZVKkCDzzgRmytUyfckRljDGBJInxU4eabXYJ48UW4/Xa7Q9oYk+fYVSlcHnoIpkyBkSPhzjvDHY0xxqTJbqYLhzFj4Jln3B3Tjz4a7miMMSZdliRy24wZcNdd0K0bvPoqiE0bbozJu0KaJESko4hsEZGtIvJgGu/XFJHFIrJORDaKyNV+7z3kbbdFRK4MZZy5ZvFid6f0RRfBu+9CVFS4Iwq6xER3agcOhDsSY0wwhCxJiEgU8CpwFVAf6CMi9VOt9igwQ1UbA72Bsd629b3XDYCOwFhvf/nXxo2u9HDOOTB3bkR2bT1xAnr3hn793F+fL9wRGWNyKpQliRbAVlX9RVVPANOBrqnWUeAM73kZYLf3vCswXVWPq+p2YKu3v/zp11/dXA+lS7veTOXLhzuioIuPd71533/f/f38c3j66XBHZYzJqVD2bqoG/Ob3eifQMtU6I4DPRWQ4UBK4zG/bb1JtWy31AURkCDAEoGbNmkEJOuj27XMJIj4evvwS8mqcOXDoEHTu7E5vwgR3g3jfvm6w2jZt3CMnjh93I5IULQoNGrhHhQrBid0Yk7Fwd4HtA0xS1edEpBUwRUQaBrqxqo4HxgM0a9ZMQxRj9sXHu6vn9u1uatGYmHBHFHT797scuG6da4vo3dstHzcO1qxxr9evz/5gtYmJ0KcPzJ596vLKlV2yqF//ZOJo0CAiC2nGhFUok8QuoIbf6+reMn834docUNUVIhINVAxw27wt+er2zTcwc2ZEzhb3++9w+eXw889uHMLOnU++d8YZriPXhRe6MQnnzYNCWazc9PncDeizZ7v7Da+9FjZtOvnYvNkNdXXkyMltqlRxYyH27Aldurjhr4wxOaCqIXngEtAvQG2gKLABaJBqnU+BQd7zerg2CcE1WG8Ainnb/wJEZXS8pk2bap6RkKB6882qoPryy+GOJiR27FCtU0e1RAnVBQvSX2/sWPcxPP101vbv86nefrvb9oknMl7v119VP/lE9b//VR00SLVmTbddkSKqnTqpTp6sGheXteMbU1AAqzWja3lGb+b0AVwN/ARsAx7xlo0EunjP6wNfewlhPXCF37aPeNttAa7K7Fh5Jkls3KjarJn7aB9+OMNVjxxR/fhj1aVLcym2IPnpJ9UaNVTLlFH9+uuM1/X5VK+/XjUqSvXLLwM/xkMPuY/wvvvcPrLC51P95hvVe+5xcYJq0aKqnTurTpmievBg1vZnTCQLa5LIzUfYk8Tx46r//rf7+Vqxour06add3Xw+1Q0bVJ95RvXSS92Fyw3i5H5x5wcbN6pWruxOce3awLY5eFD1nHNUq1dX/euvzNd/6in3mQwZkvUEkVpSkuqKFap33+2OD6rFiql26aL6zjsuURtTkFmSyA2rV6s2auQ+zt69Vf/8M+Wtv/5SnTbNVYNUrXoyKcTEuF/Jn3/uLlj5IVF8+61quXKq1aqpbt6ctW3XrHFJ8Zpr3IU7Pa++6j6Lvn1VExNzFm9qSUmqy5er3nWXOwdQLV1adehQ1VWrcp6QjMmPLEmE0tGjrl4kKsplgDlzUhY/+aRqixaqIu5TLl9etVcv1bfeUt2589TdHD/uqkJA9bXXcv80ArF0qWqpUqq1a6v+8kv29vHyy+4cn3027fffftu936WL6okT2Y81EElJ7pxuuEG1eHF33EaNVMeMUd23L7THNiYvsSQRKl9/rXr++e4jHDxYdf9+VXUNuk2busWtWrkaqG++yfxX8bFjrpEVVF9/PRfiz4JPP1WNjnanmzrBZYXPp9qjh8upy5ef+t4HH6gWKuSq4Y4ezVm8WRUX55Jz8vdWrJgrySxalHGpx5hIYEki2I4ccfUVIq4bzfz5KW/Nn+9KDGeckVKoyJJjx1x1DKiOGxfEmHNg1izXzNK48Sm1aNkWF+dKIzVqnPzFPn++q4q68ELVw4dzfoycWLdO9Y47VMuWdd/D2We7UuHu3eGL6ddfVbdtU92715U6jQkmSxLBtH69u2qA6m23qR46pKru1+aoUS5vNGzoev9kV15KFJMmuV/3F12keuBA8Pa7apVLPJ07ux5PxYu7qh6vMJYnxMe7hu127TSlO+2AAS6J5JaEBNUHHtCUdqzkR3S06j/+4bogN2mi2r69ateuLr433si9+ExksCQRTN26qVaooLpkScqiAwdOtif07Ruc3jLHjqlefbXb5/jxOd9fdrzyijt+hw6h6QH00ktu/4ULq9atq/r778E/RrD89JPqP/+pWrKki7l9e9WPPgptVdQff7jjgOott7j2mjFj3I+R//s/1VtvVe3Tx/2gaNPGJdkzz3Tr//vfwYvju+9c5wpr1I9cliSCJSnJde0ZPDhl0YYNrmtn4cKuUTaY/5GOHlW96ir3DU2YELz9BiK5C2qXLqFrH/D5XEewc85R/d//QnOMYDtwwDW6J3elPe88137099/BPc6KFa73VXS0K80FKjHRNcSD6siROY/j44/dzZLgSlRr1uR8nybvsSQRLOvWuY9r8mRVdTdlFS/ufr1ldkNZdvknityoRvD5Tt7E1rdv6HsY+XzB7+aaG06cUH333ZMN3RUqqD76qOqePTnbr8/nukEXKeLabbJTtZWYqDpwoGZ6p3pmJkxwHQyaNlV9/nl3Xwy4Kq38ktRNYCxJBMsLL6iCHt/6v5ThItq2zfmFITNHj6p27Bj6RJGUpDp8uKbcxJYfL965zedz3Wi7dnXtUUWLuvthli7N+uf3998nL+5XX52z9pnERHcxz06i8PlcdRWoXnnlyY4EcXGumqtYMVfCeeSRlCY5kwULF2Zt5IHcYEkiWLp21V1ntdILL9SU4SISEkJ7yGTJiULE1XZ9/31w95+Y6C5uoHrvvVb/nB0//eTGmkqunqla1fWSWrYs87aLrVtdm4KIu0AHo63DP1GMGhXYNgkJrv0DXLVVWiXJ7dtdWwi4O+/Hjcu9/wfBcPBgeLo2799/8kdApUqhL6VnhSWJYEhMVF+Zstq+6g9asqTqzJmhO1R6jh51F53kG786dgxOg+Lx46rXXef2OWKEJYicOnzYjchy7bXuF3dywhg+3P2CTH1x+ugjNwZWuXJukMJgSkxU7d/fxfDkkxmv+/ffJztgPPxw5v8OvvlG9eKL3foNGrjY8+q/nYMHXU+1rl1dSQhU33wz944/b56rlo6KOjm6QrC/65ywJBEMa9fqh3RWcMNGhNPeve6XYZUqmjK8x8SJrkdUoHw+d9PftGmu9xKoPvdcyEIusA4fdp9x9+4nE8aZZ7qeUl9+qfqvf7lljRtn/y72zCQmqvbr547zn/+kvc7evaotW7qSTFb+fft8qu+/7zofgOrll6uuXBmcuHPq0CHVqVNdh8TkxFCtmuqdd7quwxddFPoYDhw4WUJv0MCN3nP8uLuXqm/f0B8/UJYkguDEsy9oXX7U8+ucyDNF62PHXM+X5CGjKld29c97956+7tGjrnF99Gj3C9d/DKmSJcPXzbYgOXTINXb7X7RA9cYb3T0ZoZSY6C5K4Hqu+fvlF9Vzz3VJ7IMPsrf/48ddk1358u4YnTq5e2FyW/Jn3L37yc84OSl/9dXJUtyzz7r3fvghdLF8+qlLSlFRrmTm/yPu1ltdtWS4bxxNZkkiCMY0fF3BdQnMa3w+N59Dci+o6Gg3YN3Uqe7G8JYtXW+Z5IvS2We7X5avvOK6NOalutGC4uBBdzH78MPcq6JJSDjZlpA8t8eaNe7HRbly7iKaUwcPulJuuXLuOJ07u1/PofbTT64NJZDqPVXX2SQqyjXEB1tcnGs3BNX69dMuWX31lXt/ypTgHz87LEnk0P69iVpe9mmHMzfn2TrXZJs2uYbH5F9RxYu7G63+7/9UZ8/O2zesmdDzTxQ33+wGbKxZM+sj+mYmdbLo0iU091j8/LNLDlFR7t/6sGGBdRRQdQmsSpXgNrrPn+/uoSlUSPXBB9O/x8jnU61Vy/UeywssSeTQvf33qJCk65/KQy1Nmdi71/Wxt1KCSS0hwd3EmDzq7a5doTtWXJyrAk0eB6tr18DnIMlI6uRwzz1Z/wE0e7aL6aOPch7PiROu2zio1qvnhtTPzCOPuGQS6i70gbAkkQNbt6oWiUrUwbwR3hHejAmihATVGTNyb0rXuDh3B7h/svj8czf0SFZs3eoagqOiXNXS3Xdn/yJ74oQb/6p79+xt7+/11zWl+3igIxRs3uy2eeGFnB8/pzJLEuLWyf+aNWumq1evDuo+r7sOPpl9jJ9rXcGZW5cFdd/GFDQHD8KYMfD88xAX55ZVrAgNGpx81K/v/laqdHK7bdvgySdh8mQoUgRuvRUeeACqVMlZPPfdBy+9BLt3n3q8rEhIgLp1oXJlWLECRALftlkz9zfIl60sE5E1qtosvfcL52Yw+clXX8GsWfDvYs9x5mX1wx2OMflemTLwr3/BnXfCN9/A5s2waZN7vPMOHDp0ct1KlVyyKFsWPvoICheGO+5wyaFq1eDEc+ON8Nxz7th33529fbz7LuzYAS+/nLUEAdC/vzvujz/C+edn7/i5wUoSafD5oFUr2Ln9BD/tLUfJ6W9Br15B2bcx5nSqsGvXqYlj0yb43/+gZ0+XHM48M/jHbdkS4uNh48asX+STklzJp3hxWLcu69v//jtUqwYPPwxPPJG1bYPJShLZ8N57sHIlTLp+ASVnxEPbtuEOyZiIJgLVq7vHFVfk3nEHD3bVV2vWnKz+CdSsWfDTTzBzZtYTBLjqsssvdyWZkSOzt4/cUCjcAeQ1R4/Cgw9C48Yw4NCrUK9ezis/jTF5Uu/eEB0Nb72Vte18Phg1yl0err02+8fv189VVy1fnv19hJoliVReeskVcZ97NolCXy2Ddu3CHZIxJkTKlIEePVzbwtGjgW/30Ufw/feuqqhQDq6i3btDiRKuNJFXWZLw8+ef8J//QJcu0L70ajhyxJKEMRFu8GDX82r27MDWV3VtCGef7UoiOVGqFHTr5qq4T5zI2b5CxZKEn8cfd78mnn0WWLLELbQkYUxEa9cOatWCiRMDW3/+fNeG8dBDrtdVTvXvDwcOwKef5nxfoWBJwrNpE4wfD8OGwXnnAYsXu64L//hHuEMzxoRQoUKuO+zCha59ICPJpYgaNWDgwOAc//LLXZffvFrlZEnCc//9cMYZrjRBQoK7UaJ9+3CHZYzJBTfc4P6+/XbG6y1d6hqZH3gAihYNzrELF4Y+fVw7x8GDwdlnMFmSAD7/3BX1Hn0UKlTAlSX//tuqmowpIM46Czp0gEmTXM+l9Iwa5To7Dh4c3OP36wfHj8P77wd3v8FQ4JNEUhLce69rhLrjDm/h4sXur90fYUyBMXiwq25Kbo5MbcUKVyV1333uBrpgat4czj03b1Y5FfgksWOHGw7gmWegWDFv4ZIl0LBh9gd0McbkO926uWFA0rtn4sknXU3D0KHBP7aIa8BesgR++y34+8+JAp8kzjkHtmxxfaUB1w/N2iOMKXCKF3dtA++/f3rbwLp1MG+eG2upVKnQHL9fP9cwPm1aaPafXQU+SYC74zLllvjVq91gLtYeYUyBM3gwHDsG06efuvzJJ92NdylV0iFwzjluzLi8VuVkSSK15PaISy4JbxzGmFzXtCnExJxa5bRpkytdDB/uEkUo9e8P333nBhzMKyxJpLZkCTRq5Aa6N8YUKCKuNLFypUsOAE89BSVLuiHOQ+36612X2LxUmrAk4e/ECfj6a6tqMqYA69fPXagnToSff3ZtBLfdlju/GytWhI4d3VhSGXXF9bd//8mEFgohTRIi0lFEtojIVhF5MI33XxCR9d7jJxGJ83svye+9uaGMM8XKlW5cDmu0NqbAqlTJjd82ZYq7u7poUbjnntw7fv/+bm6NpUvTfj8pyXXHHTHCtWFUquTuGA+VkM0nISJRwKvA5cBOYJWIzFXVzcnrqOrdfusPBxr77eKoql4QqvjStGSJK29ae4QxBdrgwfDBBy5RDB+eu7MFdO4MpUu7Kqfk36u7drkxoz77DBYscGM9iUCLFu4m4I4dQxdPKCcdagFsVdVfAERkOtAV2JzO+n2Ax0MYT+YWL4bYWChfPqxhGGPC68or3TSpf/3lhuzJTSVKuC75s2ZBuXIuOXz/vXuvalV3P8eVV8Jll3kjRIRYKJNENcD/tpCdQMu0VhSRs4DawCK/xdEishpIBJ5W1TlpbDcEGAJQs2bNnEV7/LgblOXWW3O2H2NMvle4MLz6qqvvr1Ej949/ww1uiJCXX4Y2bdzrK6909/jm9gx2eWX60t7ALFVN8lt2lqruEpGzgUUi8p2qbvPfSFXHA+PBzXGdowi+/dZ1kLb2CGMMbkKgcGnXznWFrV3b9awKp1A2XO8C/HNwdW9ZWnoDp9xnqKq7vL+/AEs4tb0i+JLbI9q0CelhjDEmEA0bhj9BQGiTxCrgXBGpLSJFcYngtF5KInI+UA5Y4besnIgU855XBC4m/baM4Fi8GC64wFUCGmOMAUKYJFQ1EbgDmA/8AMxQ1U0iMlJEuvit2huYrqr+1UX1gNUisgFYjGuTCF2SOHbM9SmzqiZjjDlFSNskVPUT4JNUyx5L9XpEGtstB2JCGdspvv3WNVzbTXTGGHMKu+MaXFVToULWHmGMMalYkgDXaN24sRtM3hhjTApLEkePWnuEMcakw5LEwYPu9sarrgp3JMYYk+fklZvpwqdKFTfkojHGmNNYScIYY0y6LEkYY4xJlyUJY4wx6bIkYYwxJl2WJIwxxqTLkoQxxph0WZIwxhiTLksSxhhj0iWnjtCdf4nIXuDXHOyiIvBXkMLJCyLtfCDyzinSzgci75wi7Xzg9HM6S1UrpbdyxCSJnBKR1araLNxxBEuknQ9E3jlF2vlA5J1TpJ0PZP2crLrJGGNMuixJGGOMSZcliZPGhzuAIIu084HIO6dIOx+IvHOKtPOBLJ6TtUkYY4xJl5UkjDHGpMuShDHGmHQV+CQhIh1FZIuIbBWRB8MdTzCIyA4R+U5E1ovI6nDHk1Ui8paI/Cki3/stKy8iX4jIz97fcuGMMavSOacRIrLL+57Wi8jV4YwxK0SkhogsFpHNIrJJRO70lufL7ymD88nP31G0iKwUkQ3eOf3bW15bRL71rnnviUjRDPdTkNskRCQK+Am4HNgJrAL6qOrmsAaWQyKyA2imqvnyJiARuQQ4AkxW1YbesmeB/ar6tJfMy6nqA+GMMyvSOacRwBFVHR3O2LJDRKoCVVV1rYiUBtYA3YBB5MPvKYPzuZ78+x0JUFJVj4hIEeAr4E7gHuADVZ0uIq8DG1T1tfT2U9BLEi2Arar6i6qeAKYDXcMcU4GnqsuA/akWdwXe9p6/jfsPnG+kc075lqruUdW13vPDwA9ANfLp95TB+eRb6hzxXhbxHgpcCszylmf6HRX0JFEN+M3v9U7y+T8MjwKfi8gaERkS7mCCpLKq7vGe/w5UDmcwQXSHiGz0qqPyRdVMaiJSC2gMfEsEfE+pzgfy8XckIlEish74E/gC2AbEqWqit0qm17yCniQiVWtVbQJcBdzuVXVEDHV1pJFQT/oacA5wAbAHeC6s0WSDiJQC3gfuUtVD/u/lx+8pjfPJ19+Rqiap6gVAdVzNyflZ3UdBTxK7gBp+r6t7y/I1Vd3l/f0TmI37x5Hf/eHVGyfXH/8Z5nhyTFX/8P4T+4AJ5LPvyavnfh+YqqofeIvz7feU1vnk9+8omarGAYuBVkBZESnsvZXpNa+gJ4lVwLlea39RoDcwN8wx5YiIlPQa3hCRksAVwPcZb5UvzAVu8J7fAHwYxliCIvli6ulOPvqevEbRN4EfVPV5v7fy5feU3vnk8++okoiU9Z4Xx3XQ+QGXLHp6q2X6HRXo3k0AXpe2F4Eo4C1VfTK8EeWMiJyNKz0AFAbezW/nJCLTgHa4IY3/AB4H5gAzgJq4IeGvV9V80xCczjm1w1VjKLADGOpXn5+niUhr4EvgO8DnLX4YV4+f776nDM6nD/n3O2qEa5iOwhUIZqjqSO8aMR0oD6wD+qvq8XT3U9CThDHGmPQV9OomY4wxGbAkYYwxJl2WJIwxxqTLkoQxxph0WZIwxhiTLksSxmRCRJL8RgFdH8zRgkWklv/IsMbkNYUzX8WYAu+oN7SBMQWOlSSMySZv3o5nvbk7VopIHW95LRFZ5A0Kt1BEanrLK4vIbG98/w0icpG3qygRmeCN+f+5d3csIvJPb36DjSIyPUynaQo4SxLGZK54quqmXn7vHVTVGOAV3J37AC8Db6tqI2AqMMZbPgZYqqqxQBNgk7f8XOBVVW0AxAE9vOUPAo29/dwamlMzJmN2x7UxmRCRI6paKo3lO4BLVfUXb3C431W1goj8hZvAJsFbvkdVK4rIXqC6/xAI3rDUX6jqud7rB4AiqjpKRD7DTVQ0B5jjNzeAMbnGShLG5Iym8zwr/MfNSeJkW+E1wKu4Uscqv5E7jck1liSMyZlefn9XeM+X40YUBuiHGzgOYCEwDFImgymT3k5FpBBQQ1UXAw8AZYDTSjPGhJr9MjEmc8W92b2Sfaaqyd1gy4nIRlxpoI+3bDgwUUTuB/YCN3rL7wTGi8hNuBLDMNxENmmJAt7xEokAY7w5AYzJVdYmYUw2eW0SzVT1r3DHYkyoWHWTMcaYdFlJwhhjTLqsJGGMMSZdliSMMcaky5KEMcaYdFmSMMYYky5LEsYYY9L1/7Wn1ooTAo52AAAAAElFTkSuQmCC\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["acc = historyLstm.history['accuracy']\n","val_acc = historyLstm.history['val_accuracy']\n","\n","#------------------------------------------------\n","# Plot training and validation accuracy per epoch\n","#------------------------------------------------\n","plt.plot(epochs, acc, 'r')\n","plt.plot(epochs, val_acc, 'b')\n","plt.title('Training and validation accuracy')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Accuracy\")\n","plt.legend([\"Accuracy\", \"Validation Accuracy\"])\n","plt.show()"]},{"cell_type":"code","execution_count":53,"id":"a682f451","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:03:46.759201Z","iopub.status.busy":"2022-04-09T09:03:46.758554Z","iopub.status.idle":"2022-04-09T09:03:47.663075Z","shell.execute_reply":"2022-04-09T09:03:47.66362Z","shell.execute_reply.started":"2022-04-09T08:23:14.023902Z"},"papermill":{"duration":1.562064,"end_time":"2022-04-09T09:03:47.663849","exception":false,"start_time":"2022-04-09T09:03:46.101785","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Accuracy : 0.7531188443860801\n","F1_Score : 0.7181409295352323\n","Auc: 0.75%\n"]}],"source":["scores = LSTM_model.predict(val_pad_trunc_seq)\n","scores = np.around(scores, decimals=0)\n","print(\"Accuracy :\", metrics.accuracy_score(val_labels,scores))\n","print(\"F1_Score :\", metrics.f1_score(val_labels,scores))\n","print(\"Auc: %.2f%%\" % (roc_auc(scores,val_labels)))"]},{"cell_type":"code","execution_count":54,"id":"a833cebe","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:03:48.967083Z","iopub.status.busy":"2022-04-09T09:03:48.966065Z","iopub.status.idle":"2022-04-09T09:03:48.975006Z","shell.execute_reply":"2022-04-09T09:03:48.975634Z","shell.execute_reply.started":"2022-04-09T08:23:14.941061Z"},"papermill":{"duration":0.66143,"end_time":"2022-04-09T09:03:48.975831","exception":false,"start_time":"2022-04-09T09:03:48.314401","status":"completed"},"tags":[]},"outputs":[],"source":["scores_model = []\n","scores_model.append({'Model': 'LSTM','AUC_Score': roc_auc(scores,val_labels),'Accuracy_Score': metrics.accuracy_score(val_labels,scores),\n","                    'F1_Score': metrics.f1_score(val_labels,scores)})"]},{"cell_type":"markdown","id":"cf0dc1cc","metadata":{"papermill":{"duration":0.649454,"end_time":"2022-04-09T09:03:50.278013","exception":false,"start_time":"2022-04-09T09:03:49.628559","status":"completed"},"tags":[]},"source":["## Bidirectional LSTM"]},{"cell_type":"code","execution_count":55,"id":"ad50eeee","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:03:51.643753Z","iopub.status.busy":"2022-04-09T09:03:51.643012Z","iopub.status.idle":"2022-04-09T09:03:51.644577Z","shell.execute_reply":"2022-04-09T09:03:51.64516Z","shell.execute_reply.started":"2022-04-09T08:23:14.953144Z"},"papermill":{"duration":0.719108,"end_time":"2022-04-09T09:03:51.645348","exception":false,"start_time":"2022-04-09T09:03:50.92624","status":"completed"},"tags":[]},"outputs":[],"source":["def Bi_LSTM(vocab_size, embedding_dim, maxlen, embeddings_matrix):\n","    bilstm_model = tf.keras.Sequential([ \n","        # This is how you need to set the Embedding layer when using pre-trained embeddings\n","        tf.keras.layers.Embedding(VOCAB_SIZE+1, EMBEDDING_DIM, input_length=MAXLEN, weights=[EMBEDDINGS_MATRIX], trainable=False),\n","        tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64)), \n","        tf.keras.layers.Dense(1, activation='sigmoid'),\n","])\n","    bilstm_model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n","    return bilstm_model"]},{"cell_type":"code","execution_count":56,"id":"fc2a5db9","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:03:52.955088Z","iopub.status.busy":"2022-04-09T09:03:52.954426Z","iopub.status.idle":"2022-04-09T09:03:53.446004Z","shell.execute_reply":"2022-04-09T09:03:53.446918Z","shell.execute_reply.started":"2022-04-09T08:23:14.964461Z"},"papermill":{"duration":1.148834,"end_time":"2022-04-09T09:03:53.447108","exception":false,"start_time":"2022-04-09T09:03:52.298274","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"sequential_1\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","embedding_1 (Embedding)      (None, 30, 100)           1618800   \n","_________________________________________________________________\n","bidirectional (Bidirectional (None, 128)               84480     \n","_________________________________________________________________\n","dense_1 (Dense)              (None, 1)                 129       \n","=================================================================\n","Total params: 1,703,409\n","Trainable params: 84,609\n","Non-trainable params: 1,618,800\n","_________________________________________________________________\n"]}],"source":["bilstm_model = Bi_LSTM(VOCAB_SIZE, EMBEDDING_DIM, MAXLEN, EMBEDDINGS_MATRIX)\n","bilstm_model.summary()"]},{"cell_type":"code","execution_count":57,"id":"dbb3b1bd","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:03:54.764994Z","iopub.status.busy":"2022-04-09T09:03:54.764117Z","iopub.status.idle":"2022-04-09T09:06:43.861466Z","shell.execute_reply":"2022-04-09T09:06:43.862061Z","shell.execute_reply.started":"2022-04-09T08:23:15.466034Z"},"papermill":{"duration":169.757392,"end_time":"2022-04-09T09:06:43.862264","exception":false,"start_time":"2022-04-09T09:03:54.104872","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/30\n","96/96 [==============================] - 11s 73ms/step - loss: 0.5369 - accuracy: 0.7319 - val_loss: 0.4857 - val_accuracy: 0.7886\n","Epoch 2/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.4620 - accuracy: 0.7941 - val_loss: 0.5044 - val_accuracy: 0.7643\n","Epoch 3/30\n","96/96 [==============================] - 5s 54ms/step - loss: 0.4444 - accuracy: 0.8010 - val_loss: 0.4805 - val_accuracy: 0.7814\n","Epoch 4/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.4246 - accuracy: 0.8133 - val_loss: 0.4744 - val_accuracy: 0.7919\n","Epoch 5/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.4069 - accuracy: 0.8228 - val_loss: 0.4795 - val_accuracy: 0.7820\n","Epoch 6/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.3902 - accuracy: 0.8291 - val_loss: 0.4871 - val_accuracy: 0.7919\n","Epoch 7/30\n","96/96 [==============================] - 6s 61ms/step - loss: 0.3713 - accuracy: 0.8397 - val_loss: 0.4957 - val_accuracy: 0.7899\n","Epoch 8/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.3420 - accuracy: 0.8555 - val_loss: 0.5440 - val_accuracy: 0.7715\n","Epoch 9/30\n","96/96 [==============================] - 5s 54ms/step - loss: 0.3288 - accuracy: 0.8583 - val_loss: 0.5104 - val_accuracy: 0.7859\n","Epoch 10/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.2959 - accuracy: 0.8783 - val_loss: 0.5378 - val_accuracy: 0.7827\n","Epoch 11/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.2686 - accuracy: 0.8920 - val_loss: 0.5805 - val_accuracy: 0.7827\n","Epoch 12/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.2499 - accuracy: 0.9011 - val_loss: 0.5938 - val_accuracy: 0.7702\n","Epoch 13/30\n","96/96 [==============================] - 6s 62ms/step - loss: 0.2211 - accuracy: 0.9122 - val_loss: 0.6792 - val_accuracy: 0.7768\n","Epoch 14/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.2002 - accuracy: 0.9200 - val_loss: 0.6626 - val_accuracy: 0.7748\n","Epoch 15/30\n","96/96 [==============================] - 5s 54ms/step - loss: 0.1702 - accuracy: 0.9346 - val_loss: 0.7262 - val_accuracy: 0.7708\n","Epoch 16/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.1554 - accuracy: 0.9384 - val_loss: 0.7907 - val_accuracy: 0.7617\n","Epoch 17/30\n","96/96 [==============================] - 5s 57ms/step - loss: 0.1402 - accuracy: 0.9452 - val_loss: 0.8685 - val_accuracy: 0.7643\n","Epoch 18/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.1199 - accuracy: 0.9563 - val_loss: 0.8983 - val_accuracy: 0.7557\n","Epoch 19/30\n","96/96 [==============================] - 6s 62ms/step - loss: 0.1076 - accuracy: 0.9616 - val_loss: 0.8819 - val_accuracy: 0.7610\n","Epoch 20/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.0911 - accuracy: 0.9681 - val_loss: 0.9741 - val_accuracy: 0.7676\n","Epoch 21/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.0852 - accuracy: 0.9711 - val_loss: 1.0412 - val_accuracy: 0.7597\n","Epoch 22/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.0810 - accuracy: 0.9708 - val_loss: 0.9980 - val_accuracy: 0.7636\n","Epoch 23/30\n","96/96 [==============================] - 6s 61ms/step - loss: 0.0697 - accuracy: 0.9760 - val_loss: 1.0264 - val_accuracy: 0.7630\n","Epoch 24/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.0645 - accuracy: 0.9773 - val_loss: 1.1662 - val_accuracy: 0.7630\n","Epoch 25/30\n","96/96 [==============================] - 6s 64ms/step - loss: 0.0686 - accuracy: 0.9759 - val_loss: 1.0593 - val_accuracy: 0.7597\n","Epoch 26/30\n","96/96 [==============================] - 6s 58ms/step - loss: 0.0716 - accuracy: 0.9755 - val_loss: 1.1462 - val_accuracy: 0.7649\n","Epoch 27/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.0619 - accuracy: 0.9783 - val_loss: 1.1500 - val_accuracy: 0.7571\n","Epoch 28/30\n","96/96 [==============================] - 5s 55ms/step - loss: 0.0501 - accuracy: 0.9816 - val_loss: 1.1929 - val_accuracy: 0.7518\n","Epoch 29/30\n","96/96 [==============================] - 6s 57ms/step - loss: 0.0609 - accuracy: 0.9770 - val_loss: 1.1768 - val_accuracy: 0.7610\n","Epoch 30/30\n","96/96 [==============================] - 5s 56ms/step - loss: 0.0503 - accuracy: 0.9813 - val_loss: 1.2544 - val_accuracy: 0.7518\n"]}],"source":["historybilstm = bilstm_model.fit(x = train_pad_trunc_seq, validation_data=(val_pad_trunc_seq, val_labels), y = train_labels, epochs = 30, batch_size=64)"]},{"cell_type":"code","execution_count":58,"id":"6dc36da3","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:06:47.031003Z","iopub.status.busy":"2022-04-09T09:06:47.029949Z","iopub.status.idle":"2022-04-09T09:06:47.255702Z","shell.execute_reply":"2022-04-09T09:06:47.254953Z","shell.execute_reply.started":"2022-04-09T08:26:17.271138Z"},"papermill":{"duration":1.798015,"end_time":"2022-04-09T09:06:47.25585","exception":false,"start_time":"2022-04-09T09:06:45.457835","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["#-----------------------------------------------------------\n","# Retrieve a list of list results on training and test data\n","# sets for each training epoch\n","#-----------------------------------------------------------\n","loss = historybilstm.history['loss']\n","val_loss = historybilstm.history['val_loss']\n","\n","\n","#------------------------------------------------\n","# Plot training and validation loss per epoch\n","#------------------------------------------------\n","plt.plot(epochs, loss, 'r')\n","plt.plot(epochs, val_loss, 'b')\n","plt.title('Training and validation loss')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Loss\")\n","plt.legend([\"Loss\", \"Validation Loss\"])\n","plt.show()"]},{"cell_type":"code","execution_count":59,"id":"29df8812","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:06:50.33252Z","iopub.status.busy":"2022-04-09T09:06:50.331461Z","iopub.status.idle":"2022-04-09T09:06:50.498089Z","shell.execute_reply":"2022-04-09T09:06:50.497526Z","shell.execute_reply.started":"2022-04-09T08:26:17.425092Z"},"papermill":{"duration":1.703002,"end_time":"2022-04-09T09:06:50.498229","exception":false,"start_time":"2022-04-09T09:06:48.795227","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAYkAAAEWCAYAAACT7WsrAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAA/DUlEQVR4nO3deZzNZfvA8c9l0Nj3h0KWSpaYMMiTrbSoZEkLRUSKnhYq5ffkkWhRT3tPyVKkRKKkBSVbRcZS9iVCiBLZ15lz/f64vzOOMWfmzHLmzJm53q/Xec053+1c33Nmvtfc9/2971tUFWOMMSYl+cIdgDHGmJzLkoQxxpiALEkYY4wJyJKEMcaYgCxJGGOMCciShDHGmIAsSZigicgMEeme1duGk4hsFZGrQnBcFZELvedvi8h/gtk2A+9zh4h8ndE4jUmLWD+J3E1EDvu9LAycABK81/eq6oTsjyrnEJGtwN2qOjuLj6vARaq6Kau2FZGqwBaggKrGZ0mgxqQhf7gDMKGlqkUTn6d2QRSR/HbhMTmF/T7mHFbdlEeJSCsR2SEij4vIbmCsiJQSkS9EZI+I/O09r+S3zzwRudt73kNEvheRF71tt4jIdRnctpqILBCRQyIyW0TeFJEPAsQdTIzDROQH73hfi0hZv/XdRGSbiOwVkSdS+XyaiMhuEYnyW9ZRRFZ6zxuLyCIR2S8iu0TkfyJSMMCxxonI036vB3j7/C4iPZNte4OI/CQiB0Vku4gM8Vu9wPu5X0QOi0jTxM/Wb/9/isgSETng/fxnsJ9NOj/n0iIy1juHv0Vkmt+69iLys3cOm0Wkjbf8jKo9ERmS+D2LSFWv2q2XiPwGzPGWf+x9Dwe835E6fvsXEpGXvO/zgPc7VkhEvhSRB5Kdz0oR6ZjSuZrUWZLI2yoApYEqwD2434ex3uvzgWPA/1LZvwmwASgLvAC8IyKSgW0/BOKAMsAQoFsq7xlMjLcDdwH/AAoCjwKISG1ghHf887z3q0QKVHUxcAS4MtlxP/SeJwD9vfNpCrQG7kslbrwY2njxXA1cBCRvDzkC3AmUBG4A+opIB29dC+9nSVUtqqqLkh27NPAl8Lp3bi8DX4pImWTncNZnk4K0Puf3cdWXdbxjveLF0BgYDwzwzqEFsDXAe6SkJVALuNZ7PQP3Of0DWA74V4++CDQE/on7PX4M8AHvAV0TNxKRGKAi7rMx6aWq9sgjD9wf61Xe81bASSA6le0vBf72ez0PV10F0APY5LeuMKBAhfRsi7sAxQOF/dZ/AHwQ5DmlFOMgv9f3ATO954OBSX7rinifwVUBjv008K73vBjuAl4lwLb9gE/9Xitwofd8HPC09/xdYLjfdjX8t03huK8Cr3jPq3rb5vdb3wP43nveDYhLtv8ioEdan016PmfgXNzFuFQK241MjDe13z/v9ZDE79nv3KqnEkNJb5sSuCR2DIhJYbto4G9cOw+4ZPJWKP6m8sLDShJ52x5VPZ74QkQKi8hIr/h+EFe9UdK/yiWZ3YlPVPWo97RoOrc9D9jntwxge6CAg4xxt9/zo34xned/bFU9AuwN9F64UsNNInIOcBOwXFW3eXHU8KpgdntxPIsrVaTljBiAbcnOr4mIzPWqeQ4AfYI8buKxtyVbtg33X3SiQJ/NGdL4nCvjvrO/U9i1MrA5yHhTkvTZiEiUiAz3qqwOcrpEUtZ7RKf0Xt7v9EdAVxHJB3TBlXxMBliSyNuS39r2CHAx0ERVi3O6eiNQFVJW2AWUFpHCfssqp7J9ZmLc5X9s7z3LBNpYVdfiLrLXcWZVE7hqq/W4/1aLA//OSAy4kpS/D4HpQGVVLQG87XfctG5F/B1XPeTvfGBnEHEll9rnvB33nZVMYb/twAUBjnkEV4pMVCGFbfzP8XagPa5KrgSutJEYw1/A8VTe6z3gDlw14FFNVjVngmdJwvgrhivC7/fqt58M9Rt6/5kvBYaISEERaQrcGKIYpwBtRaSZ18g8lLT/Bj4EHsJdJD9OFsdB4LCI1AT6BhnDZKCHiNT2klTy+Ivh/ks/7tXv3+63bg+umqd6gGN/BdQQkdtFJL+I3AbUBr4IMrbkcaT4OavqLlxbwVteA3cBEUlMIu8Ad4lIaxHJJyIVvc8H4Gegs7d9LHBzEDGcwJX2CuNKa4kx+HBVdy+LyHleqaOpV+rDSwo+4CWsFJEpliSMv1eBQrj/0n4EZmbT+96Ba/zdi2sH+Ah3cUjJq2QwRlVdA/wLd+Hfhau33pHGbhNxjalzVPUvv+WP4i7gh4DRXszBxDDDO4c5wCbvp7/7gKEicgjXhjLZb9+jwDPAD+Luqros2bH3Am1xpYC9uIbctsniDtarpP45dwNO4UpTf+LaZFDVOFzD+CvAAWA+p0s3/8H95/838BRnlsxSMh5XktsJrPXi8PcosApYAuwDnufMa9p4oC6ujctkkHWmMzmOiHwErFfVkJdkTO4lIncC96hqs3DHEsmsJGHCTkQaicgFXvVEG1w99LQwh2UimFeVdx8wKtyxRDpLEiYnqIC7PfMw7h7/vqr6U1gjMhFLRK7Ftd/8QdpVWiYNVt1kjDEmICtJGGOMCSjXDPBXtmxZrVq1arjDMMaYiLJs2bK/VLVcoPW5JklUrVqVpUuXhjsMY4yJKCKSvJf+Gay6yRhjTECWJIwxxgRkScIYY0xAuaZNIiWnTp1ix44dHD9+PO2NTZ4RHR1NpUqVKFCgQLhDMSbHy9VJYseOHRQrVoyqVasSeC4ck5eoKnv37mXHjh1Uq1Yt3OEYk+Pl6uqm48ePU6ZMGUsQJomIUKZMGStdGhOkXJ0kAEsQ5iz2O2FM8HJ1dZMxxuQIqrBxIyxYAFFR0KEDlC6dNcfetg127YLLLkt72wzI9SWJnGLatGmICOvXrw93KMaYUFOFdevg7behc2c47zyoWRPuuQd69YIKFeDGG+HDD+Hw4fQff+NGeO45iI2FqlXdcUPEShLZZOLEiTRr1oyJEyfy1FNPheQ9EhISiIoKNB21MSZkVGHtWpg/H+bNcz///NOtq1gRrrwSWrWCli1dUpg4ESZNgi++gEKFXMLo0gWuuw7OOSfl469cCVOnwiefwJo1bnnjxvD889CxYyjPTXPFo2HDhprc2rVrz1oWDocOHdLzzjtPN2zYoDVq1FBV1fj4eH3kkUe0Tp06WrduXX399ddVVTUuLk6bNm2q9erV00aNGunBgwd17Nix+q9//SvpeDfccIPOnTtXVVWLFCmiDz/8sNarV0+/++47feqppzQ2Nlbr1KmjvXv3Vp/Pp6qqv/zyi7Zu3Vrr1aun9evX102bNmm3bt30008/TTru7bffrtOmTcueDyXMcsrvhskCCQmqf/7pHt7ve8jt2aP61VeqTz2lesMNqmXLqrpLuWrlyqrduqmOGaO6aVPgmBISVL/7TvW++1TLlXP7liihetddqrNmqZ48qbpokeqAAaoXXODW58un2rKl6muvqf72W5acCrBUU7m25p2SRL9+8PPPWXvMSy+FV19Nc7PPPvuMNm3aUKNGDcqUKcOyZcuIi4tj69at/Pzzz+TPn599+/Zx8uRJbrvtNj766CMaNWrEwYMHKVSoUKrHPnLkCE2aNOGll14CoHbt2gwePBiAbt268cUXX3DjjTdyxx13MHDgQDp27Mjx48fx+Xz06tWLV155hQ4dOnDgwAEWLlzIe++9l9lPxZiss3cvbN8Ov//u6t137Tr9PPHn7t1w6pTb/pxz3H/ulStDpUop/yxbFtJz88LRo/DTTxAXd/rx669unQjUru1KAs2bu9JC1arBHT9fPmjWzD1eew2+/daVLqZOhbFjoUABd14FCkDr1vD449C+PfzjH+n9FDMl7ySJMJo4cSIPPfQQAJ07d2bixIls2bKFPn36kD+/+wpKly7NqlWrOPfcc2nUqBEAxYsXT/PYUVFRdOrUKen13LlzeeGFFzh69Cj79u2jTp06tGrVip07d9LRK5JGR0cD0LJlS+677z727NnD1KlT6dSpU1I8xoTNyZPw2WcwejR8883Z60uXdnX8557r6vkTn4vAjh0uqezYAT/8ADt3nk4giQoUgMKFoWBBl1QKFjzzuf+yXbtg9WpISHD7nn++q+Lp0wcaNYKGDaFYscyfc/78cO217jFiBMyYAXPnuvdq2xZKlsz8e2Q0tLC9c3YL4j/+UNi3bx9z5sxh1apViAgJCQmISFIiCEb+/Pnx+XxJr/3v8Y+Ojk5qhzh+/Dj33XcfS5cupXLlygwZMiTN/gB33nknH3zwAZMmTWLs2LHpPDtjstDGjTBmDIwbB3v2uP/6Bw+GevVOJ4IKFcD7JycoPp9rG0hMHImlkmPHXDI6eRJOnDj93P/14cNQvrwrJTRu7JJChQohO/0k0dGujSGU7QzpkHeSRJhMmTKFbt26MXLkyKRlLVu2JCYmhpEjR3LFFVckVTddfPHF7Nq1iyVLltCoUSMOHTpEoUKFqFq1Km+99RY+n4+dO3cSFxeX4nslJoSyZcty+PBhpkyZws0330yxYsWoVKkS06ZNo0OHDpw4cYKEhAQKFy5Mjx49aNy4MRUqVKB27drZ8pkYk+T4cdcQO3q0a/CNinIX5XvugWuuca8zI18+d2GvUMFd5E26WZIIsYkTJ/L444+fsaxTp06sW7eO888/n3r16lGgQAF69+7N/fffz0cffcQDDzzAsWPHKFSoELNnz+byyy+nWrVq1K5dm1q1atGgQYMU36tkyZL07t2bSy65hAoVKpxRWnn//fe59957GTx4MAUKFODjjz+mevXqlC9fnlq1atGhQ4dQfgwmt4uPh19+cf+5J6+ySXydP//puvq1a11iGD8e9u2DatXgmWfgrrtcicHkGLlmjuvY2FhNPunQunXrqFWrVpgiigxHjx6lbt26LF++nBIlSoQ7nGxjvxuZtGcPLFp0+rFkiWvgTUti0jh82LUNdOgAvXu7htl81m0rHERkmarGBlpvJYk8bPbs2fTq1Yv+/fvnqQRh0ik+HlatOjMpbN7s1uXP7+7yu/tu17ErOvrsev6UnleqBF27ZvudOib9LEnkYVdddRXbtqU6c6HJy9ascVVA06fDkSNuWfny0LSpazNo2tQlhjRu0zaRzZKEMeZMq1bBsGEwZYq7VbRbN9cHoGnT4PsAmFzDkoQxxlmxAoYOdXcbFSsG//d/0L+/63xm8ixLEsbkdT/95JLDtGlQvDgMGuSSQ1aNUmoimiUJY/KqZctccpg+HUqUgCefhIceglKlwh2ZyUHsnrMQuuKKK5g1a9YZy1599VX69u0bcJ9WrVqReCvv9ddfz/79+8/aZsiQIbz44oupvve0adNYu3Zt0uvBgwcze/bsdESfun79+lGxYsUzeoKbCJCQADNnuqEeYmPhu+9coti2DYYMsQRhzmJJIoS6dOnCpEmTzlg2adIkunTpEtT+X331FSUzOGZL8iQxdOhQrrrqqgwdKzmfz8enn35K5cqVmT9/fpYcMyXx8fEhO3aes3Ona4yuXt0NRx0XB08/DVu3wn/+40oSxqTAkkQI3XzzzXz55ZecPHkSgK1bt/L777/TvHlz+vbtS2xsLHXq1OHJJ59Mcf+qVavy119/AfDMM89Qo0YNmjVrxoYNG5K2GT16NI0aNSImJoZOnTpx9OhRFi5cyPTp0xkwYACXXnopmzdvpkePHkyZMgWAb7/9lvr161O3bl169uzJiRMnkt7vySefpEGDBtStWzfgBEnz5s2jTp069O3bl4kTJyYt/+OPP+jYsSMxMTHExMSwcOFCAMaPH0+9evWIiYmhW7duAGfEA1C0aNGkYzdv3px27dolDRPSoUMHGjZsSJ06dRg1alTSPjNnzqRBgwbExMTQunVrfD4fF110EXv27AFcMrvwwguTXuc58fHw+efQrp0bmG7wYKhRAyZPduMYPfGEa4MwJhV5pk0iHCOFly5dmsaNGzNjxgzat2/PpEmTuPXWWxERnnnmGUqXLk1CQgKtW7dm5cqV1KtXL8XjLFu2jEmTJvHzzz8THx9PgwYNaNiwIQA33XQTvXv3BmDQoEG88847PPDAA7Rr1462bdty8803n3Gs48eP06NHD7799ltq1KjBnXfeyYgRI+jXrx/gxn1avnw5b731Fi+++CJjxow5K56JEyfSpUsX2rdvz7///W9OnTpFgQIFePDBB2nZsiWffvopCQkJHD58mDVr1vD000+zcOFCypYty759+9L8XJcvX87q1aupVq0aAO+++y6lS5fm2LFjNGrUiE6dOuHz+ejduzcLFiygWrVq7Nu3j3z58tG1a1cmTJhAv379mD17NjExMZQrVy7N98xVtm2Dd96Bd991JYgKFdww0716wQUXhDs6E2GsJBFi/lVO/lVNkydPpkGDBtSvX581a9acUTWU3HfffUfHjh0pXLgwxYsXp127dknrVq9eTfPmzalbty4TJkxgTeKMVQFs2LCBatWqUaNGDQC6d+/OggULktbfdNNNADRs2JCtW7eetf/Jkyf56quv6NChA8WLF6dJkyZJ7S5z5sxJam+JioqiRIkSzJkzh1tuuYWy3m2UpYO4Y6Zx48ZJCQLg9ddfJyYmhssuu4zt27fzyy+/8OOPP9KiRYuk7RKP27NnT8aPHw+45HLXXXel+X65xg8/uKqkatVcVVK9eu521t9+g2eftQRhMiTPlCTCNFI47du3p3///ixfvpyjR4/SsGFDtmzZwosvvsiSJUsoVaoUPXr0SHNI70B69OjBtGnTiImJYdy4ccybNy9T8Z7jTZ0YFRWVYpvArFmz2L9/P3Xr1gXc2E+FChWibdu26Xof/+HPfT5fUpUcQJEiRZKez5s3j9mzZ7No0SIKFy5Mq1atUv2sKleuTPny5ZkzZw5xcXFMmDAhXXFFrDFjoG9fN8zFf/4DPXtClSrhjsrkAlaSCLGiRYtyxRVX0LNnz6RSxMGDBylSpAglSpTgjz/+YMaMGakeo0WLFkybNo1jx45x6NAhPv/886R1hw4d4txzz+XUqVNnXBCLFSvGoUOHzjrWxRdfzNatW9m0aRPgRodt2bJl0OczceJExowZw9atW9m6dStbtmzhm2++4ejRo7Ru3ZoRI0YAbr7tAwcOcOWVV/Lxxx+zd+9egKTqpqpVq7Js2TIApk+fzqnkE8N4Dhw4QKlSpShcuDDr16/nxx9/BOCyyy5jwYIFbNmy5YzjAtx999107dqVW265JffP+Z2QAI8+enqQvLVr4amnLEGYLBPSJCEibURkg4hsEpGBKayvIiLfishKEZknIpX81iWIyM/eY3oo4wy1Ll26sGLFiqQkERMTQ/369alZsya33347l19+ear7N2jQgNtuu42YmBiuu+66M4YAHzZsGE2aNOHyyy+nZs2aScs7d+7Mf//7X+rXr8/mxMHYcJMUjR07lltuuYW6deuSL18++vTpE9R5HD16lJkzZ3LDDTckLStSpAjNmjXj888/57XXXmPu3LnUrVuXhg0bsnbtWurUqcMTTzyRNIfGww8/DEDv3r2ZP38+MTExLFq06IzSg782bdoQHx9PrVq1GDhwIJdddhkA5cqVY9SoUdx0003ExMRw2223Je3Trl07Dh8+nPurmg4dcqOovvQSPPAAfPGF3aVksl5qE2Bn5gFEAZuB6kBBYAVQO9k2HwPdvedXAu/7rTucnvdr2LDhWRN822T3edOSJUu0WbNmqW4T8b8b27ap1qunGhWl+uab4Y7GRDBgqaZybQ1lm0RjYJOq/gogIpOA9oB/C21t4GHv+VxgWgjjMXnA8OHDGTFiRO5ui1i8GNq3d1NwfvWVm8HNmBAJZXVTRWC73+sd3jJ/K4CbvOcdgWIiUsZ7HS0iS0XkRxHpkNIbiMg93jZL8+y98OYMAwcOZNu2bTRr1izcoYTGpEnQsiUUKeLmdbAEYUIs3A3XjwItReQnoCWwE0jw1lVRN1vS7cCrInLW/XuqOkpVY1U1NtC98JpLZt4zWScifydUXYN0ly7QuLErTdic5CYbhLK6aSdQ2e91JW9ZElX9Ha8kISJFgU6qut9bt9P7+auIzAPq49o4ghYdHc3evXspU6YMYmPgG1yC2Lt3L9HR0eEOJXjHjrmOcBMnQvfuMHKkmzPamGwQyiSxBLhIRKrhkkNnXKkgiYiUBfapqg/4P+Bdb3kp4KiqnvC2uRx4Ib0BVKpUiR07duTdYRlMiqKjo6lUqVLaG+YEy5bBffe5sZaGD4fHHrNJf0y2ClmSUNV4EbkfmIW70+ldVV0jIkNxrenTgVbAcyKiwALgX97utYCRIuLDVYkNV9XAXZIDKFCgwBk9d42JGD//7EZl/ewzNzLrJ59Ax47hjsrkQRKR9bMpiI2N1cQhto2JWKtXu+Qwdarr8/DII/Dgg9b/wYSMiCzz2n9TlGeG5TAmR1u3zjVMT54MRYu6oTX697f5HUzYWZIwJpw2bnST/nz4IRQu7OaVfvhhKFMm7X2NyQaWJIzJbqquzeH112H8eIiOhgED3BhMeW1Yc5PjWZIwJjv8/Td88w3MmOGmD9292yWHfv3cHUvly4c7QmNSZEnCmFDw+VxpYcYM9/jxRzdia6lSrpf0ddfB9ddbycHkeJYkjMkqqu6W1WnTXGnhjz/c8oYNXVvDdde53tL57c/ORA77bTUmqwwbBk8+CaVLny4tXHutVSWZiGZJwpisMHKkSxDdu7v5pXP7ZEcmzwj3AH/GRL5PPnFDZ9xwA4webQnC5CqWJIzJjPnz4fbbXVvD5MlQoEC4IzImS1mSMCajVqyAdu2genU3dWjhwuGOyJgsZ0nCmIzYsgXatIHixWHWLOshbXIta7g2Jr3+/NPdvXTiBHz7LVSunPY+xkQoSxLGpMehQ64T3M6dLkHY7HAml7MkYUywTp6Em25yPamnTYOmTcMdkTEhZ0nCmGD4fK4PxOzZMHYstG0b7oiMyRbWcG1MWlTd3A6TJsHzz0OPHuGOyJhsY0nCmNQcOgQPPeSG9e7f3w3pbUweYtVNxqRE1ZUcHn0Ufv8d7r8fXnwRRMIdmTHZykoSxiS3ahVccYXrSV2hAixaBG+8Afnsz8XkPfZbb0yi/fvdJED167tEMXIkxMXBZZeFOzJjwsaqm4zx+dw0oo8/Dnv2wL33wtNPWy9qY7AkYfK65ctde8OiRa7EMGMGNGgQ7qiMyTGsusnkTUePuuG9Y2Nh82YYNw5++MEShDHJWEnC5D07dkD79vDTT/Dgg/DUU1CiRLijMiZHsiRh8pbFi6FDBzhyBKZPt57TxqTBqptM3vHhh9CyJRQq5NogLEEYkyZLEib38/ngiSfgjjugSRN3W2udOuGOypiIYNVNJnc7fBi6dXOjtt59N7z5JhQsGO6ojIkYliRM7rVtm5tedPVqeO01eOABG1bDmHSyJGFyp4ULoWNHN3vcV1/BtdeGOyJjIlJI2yREpI2IbBCRTSIyMIX1VUTkWxFZKSLzRKSS37ruIvKL9+geyjhNLvPee27speLF4ccfLUEYkwkhSxIiEgW8CVwH1Aa6iEjyuR5fBMaraj1gKPCct29p4EmgCdAYeFJESoUqVpNLHDvm+j306AHNm7vbXWvWDHdUxkS0UJYkGgObVPVXVT0JTALaJ9umNjDHez7Xb/21wDequk9V/wa+AdqEMFYT6ZYtg4YN3WitDz3khtcoXTrcURkT8UKZJCoC2/1e7/CW+VsB3OQ97wgUE5EyQe6LiNwjIktFZOmePXuyLHATQeLj4Zln3LhLBw/C11/Dq69CgQLhjsyYXCHc/SQeBVqKyE9AS2AnkBDszqo6SlVjVTW2XLlyoYrR5FSbNrlqpUGD4JZb3PDeV18d7qiMyVVCmSR2ApX9XlfyliVR1d9V9SZVrQ884S3bH8y+Jg9TdXM9xMTA+vUwcaLrTV3Kmq2MyWqhTBJLgItEpJqIFAQ6A9P9NxCRsiKSGMP/Ae96z2cB14hIKa/B+hpvmcnrdu1yw2n06QOXX+5KD507hzsqY3KtkCUJVY0H7sdd3NcBk1V1jYgMFZF23matgA0ishEoDzzj7bsPGIZLNEuAod4yk5dNnQp168KcOfD66zBzJlSqlPZ+xpgME1UNdwxZIjY2VpcuXRruMEwoHD/uSg7vvefuYPrgA7u11ZgsIiLLVDU20PpwN1wbk7qTJ12j9HvvwX/+40ZvtQRhTLaxYTlMznXqFHTpAl98AW+9BX37hjsiY/IcK0mYnCkhAe68Ez75xPV7sARhTFhYkjA5j88HPXvCpEnw/POuB7UxJiwsSZicxeeDe++F8eNh2DB47LFwR2RMnmZJwuQcqm7OhzFjXC/qQYPCHZExeZ4lCZMzqMIjj7gG6gEDYOjQcEdkjMGShMkJVOHf/4ZXXnHtD88/bzPIGZNDpJkkRORGv6EzjMl6Tz0Fw4e7DnOvvGIJwpgcJJiL/23ALyLygohYLyaTtZ57ziWJnj3hzTctQRiTw6SZJFS1K1Af2AyME5FF3jwOxUIencndRoxw1Uxdu8KoUZDPCqzG5DRB/VWq6kFgCm52uXNxEwQtF5EHQhibyc02bID+/eH662HsWIiKCndExpgUBNMm0U5EPgXmAQWAxqp6HRADPBLa8EyulJDgqpcKF4Z33oH8NjqMMTlVMH+dnYBXVHWB/0JVPSoivUITlsnV3ngDFi6E99+HChXCHY0xJhXBJIkhwK7EFyJSCCivqltV9dtQBWZyqU2bXDtE27Zwxx3hjsYYk4Zg2iQ+Bnx+rxO8ZcakT+KYTAULwttv251MxkSAYEoS+VX1ZOILVT3pTUdqTPq8+SZ8951rqK5YMdzRGGOCEExJYo/fdKOISHvgr9CFZHKlX3+FgQPhuuuge/dwR2OMCVIwJYk+wAQR+R8gwHbgzpBGZXIXnw969XJ3MY0cadVMxkSQNJOEqm4GLhORot7rwyGPyuQuI0fCvHkwejRUrhzuaIwx6RDUDeoicgNQB4gW779AVbVhOk3atm51c0JcfbUrTRhjIkownenexo3f9ACuuukWoEqI4zK5gSr07u2ejx5t1UzGRKBgGq7/qap3An+r6lNAU6BGaMMyucKYMTB7Nvz3v1DF/q8wJhIFkySOez+Pish5wCnc+E3GBPbbb24SoSuvhHvuCXc0xpgMCqZN4nMRKQn8F1gOKDA6lEGZCKfqEoPP50oTNrqrMREr1SThTTb0raruB6aKyBdAtKoeyI7gTIQaNw5mzXJjNFWrFu5ojDGZkGqSUFWfiLyJm08CVT0BnMiOwEwE2b8fli6FJUsgLg6+/hpatID77gt3ZMaYTAqmuulbEekEfKKqGuqATA534gSsWOGSQeJjw4bT62vUgJtvhqeftmomY3KBYJLEvcDDQLyIHMfdBquqWjykkZmcZepUNw/1ihVw6pRbVqECNGkC3bpB48YQGwulSoU3TmNMlgqmx7VNU5rXzZ8PnTvDxRfDww+7hNC4sRukz/o+GJOrpZkkRKRFSsuTT0IUYN82wGtAFDBGVYcnW38+8B5Q0ttmoKp+JSJVgXVAYj3Gj6raJ633MyGwaRPcdBNceCF8/z2ULBnuiIwx2SiY6qYBfs+jgcbAMuDK1HYSkSjgTeBqYAewRESmq+pav80GAZNVdYSI1Aa+Aqp66zar6qXBnIQJkb//dpMDicAXX1iCMCYPCqa66Ub/1yJSGXg1iGM3Bjap6q/efpOA9oB/klAgsW2jBPB7EMc12eHUKbj1VjfE9+zZcMEF4Y7IGBMGGbn9ZAdQK4jtKuKGFfffL/lMM0OAriKyA1eKeMBvXTUR+UlE5otI85TeQETuEZGlIrJ0z549QZ+ASYMqPPigSw6jRrnbWY0xeVIwbRJv4P7jB5dULsX1vM4KXYBxqvqSiDQF3heRS3Bzap+vqntFpCEwTUTqqOpB/51VdRQwCiA2NtZuz80qb7zhphd97DHo0SPc0RhjwiiYNomlfs/jgYmq+kMQ++0E/CcPqOQt89cLaAOgqotEJBooq6p/4nXaU9VlIrIZN6jgUkxozZgB/ftD+/bw3HPhjsYYE2bBJIkpwHFVTQDXIC0ihVX1aBr7LQEuEpFquOTQGbg92Ta/Aa2BcSJSC9cwvkdEygH7VDVBRKoDFwG/Bn1WJmNWr4bbboN69eCDD6wznDEmqDaJb4FCfq8LAbPT2klV44H7gVm421knq+oaERnqN2f2I0BvEVkBTAR6eL26WwArReRnXJLqo6r7gjwnkxF//gk33ghFisDnn0PRouGOyBiTAwRTkoj2n7JUVQ+LSOFgDq6qX+EapP2XDfZ7vha4PIX9pgJTg3kPkwVOnHB9IXbvhgULoFKlcEdkjMkhgilJHBGRBokvvIbkY6ELyWSrxNnjfvgB3nsPGjUKd0TGmBwkmJJEP+BjEfkdN25TBdx0piY3eO45eP99GDrU9Yswxhg/wXSmWyIiNYGLvUUbVPVUaMMyIZeQAIMHw7PPwu23w6BB4Y7IGJMDpVndJCL/Aoqo6mpVXQ0UFRGbKCCS7d/vbnF99lno1QvefdcG6jPGpCiYNone3sx0AKjq30DvkEVkQmvdOje896xZ8NZbMHo0nHNOuKMyxuRQwbRJRImIJE445A3cVzC0YZmQmD4dunaFQoVgzhxonuJoJ8YYkySYksRM4CMRaS0irXH9GWaENiyTpXw+1zDdvr2bE2LpUksQxpigBFOSeBy4B0icz2El7g4nEwkOHYI774Rp09zPt992JQljjAlCmiUJVfUBi4GtuOG/r8T1oDY53S+/wGWXuR7Ur74K48ZZgjDGpEvAkoSI1MCN0toF+Av4CEBVr8ie0EymzJzpphzNnx++/hquTHWOKGOMSVFqJYn1uFJDW1VtpqpvAAnZE5bJsJ073Siu118P1aq59gdLEMaYDEotSdyEm9dhroiM9hqt7Wb6nGrjRrj7bpcY3njD9X/44QeoWjXckRljIljAJKGq01S1M1ATmIsbnuMfIjJCRK7JpvhMWpYtg1tugZo1YcIEuOce1xYxejQUDmocRmOMCSiYhusjqvqhN9d1JeAn3B1PJlxUXT+Ha66B2Fj45hv4v/+DrVvhf/9zpQljjMkCwdwCm8TrbZ00ZajJZj4ffPYZDB8OcXFQvjw8/zzcey+UKBHu6IwxuVC6koQJoyVL4K67YM0aqF7d9Xfo3h2io8MdmTEmF7P5KXM6n8+VFv75Tzh4ED78EDZscKUHSxDGmBCzkkROtnOn6yU9Z45rnB45EkqVCndUxpg8xJJETjVtmruN9cQJN5R3jx42nLcxJttZdVNOc/Qo9OkDHTu6u5SWL3dtEZYgjDFhYEkiJ/n5Z2jY0FUrPfYYLFwINWqEOypjTB5mSSIn8PncAHxNmsCBA67fw/PPQ0GbtsMYE17WJhFuf/zh2htmzoR27eCdd6Bs2XBHZYwxgCWJ8Nq8Ga6+GnbtghEj3G2t1vZgjMlBLEmEy6pVbliNU6dgwQJo1CjcERljzFmsTSIcFi6EFi0gKsoShDEmR7Mkkd1mzXJVTOXKuaG8a9cOd0TGGBOQJYns9PHHcOON7rbW776DKlXCHZExxqTKkkR2GT0abrvN3eY6d64bwdUYY3I4SxLZ4fnn3WRA113nqptKlgx3RMYYExRLEqGkCo8/DgMHQpcubjwmmy3OGBNBQpokRKSNiGwQkU0iMjCF9eeLyFwR+UlEVorI9X7r/s/bb4OIXBvKOEMiIcGVHl54Ae67Dz74AAoUCHdUxhiTLiFLEiISBbwJXAfUBrqISPJbeQYBk1W1PtAZeMvbt7b3ug7QBnjLO15k+OMPN7T3mDEwaJCbUjSfFdqMMZEnlFeuxsAmVf1VVU8Ck4D2ybZRoLj3vATwu/e8PTBJVU+o6hZgk3e8nG3fPjfXdPXqMH06vPwyDBtmvaiNMRErlD2uKwLb/V7vAJok22YI8LWIPAAUAa7y2/fHZPtWTP4GInIPcA/A+eefnyVBZ8ihQ/Daa/Dii272uM6d4amn4KKLwheTMcZkgXDXgXQBxqlqJeB64H0RCTomVR2lqrGqGluuXLmQBRnQsWOutFC9OvznP9CqFaxY4aYYtQRhjMkFQpkkdgKV/V5X8pb56wVMBlDVRUA0UDbIfcPn1Ck358NFF8Ejj8Cll8KPP7q7l+rWDXd0xhiTZUKZJJYAF4lINREpiGuInp5sm9+A1gAiUguXJPZ423UWkXNEpBpwERAXwliDk5AA778PNWu62eOqVHEd4775xnWSM8aYXCZkbRKqGi8i9wOzgCjgXVVdIyJDgaWqOh14BBgtIv1xjdg9VFWBNSIyGVgLxAP/UtWEUMUatKFD3ePSS+HLL13nOGuUNsbkYuKuyZEvNjZWly5dGto3adLEjdz6/fdZdkvrn3/C7t1Qr16WHC7pmCtWwAUXuMJOVOTcPGyMyWYiskxVYwOtt/kkgnXihJuD+qGHsixBzJ8Pt94Ke/a47hSDB0P+TH4jX34J3bvD3r3udcGCLlnUqHH2o3x5KwgZY1JnSSJYK1bAyZNZ0vagCq+/7tq8L7zQjRw+bJhLGh9+CBXPutk3bSdPwr//DS+9BDEx8N57rk/fxo2nHzNmuO0SFSvmRip/4w2b0sIYk7I8nyR27HD/eQ8ZAs2bp7Lh4sXuZ+PM9ek7etSN1jFhArRvD+PHQ/HicO210Levu8CPHw/XX5/2sRJt2eK6ZsTFuRFAXnoJoqPP3i4hAbZvPzNxfPIJ3Hyzy4E27qAx5iyqmiseDRs21Iw4ckS1YkXVJk1Ufb5UNuzaVfXcc9PYKHW//qp66aWqIqrDhqkmJJy5fv161Xr1VEF1wADVkyfTPuaUKaolSqgWL6768cfpj+nHH1WjolRvvTVTp2aMiVC4G4kCXlvD3Zku7AoXdjcsLV4MU6emsuHixa4UkcFK/FmzoGFD2LrVtRsMGnR208bFF7vuFn36wH//62Y43bo15eMdPw733+9KATVqwE8/uefp1aSJO//Jk2HcuPTvn9yhQ/DEEy7+uDiIj8/8MY0xYZRaBomkR0ZLEqqq8fGqdeqoXnhhgP/e9+51/94/+2y6j+3zud1EVOvWVd20Kbj9PvrIlQ5KllT99NMz123cqFq/vgvp4YdVT5xId1hniI9XbdVKtUgR1Q0bMn6c48dVr7rKxZX4KFZMtU0b1eHDVRctCq50ZIzJPqRRkgj7xT2rHplJEqqqX3zhPo3//S+FlTNnupWzZ6frmAcPqnbs6Hbt3Fn18OH0xbRpk2rDhm7/Bx90F+EJE1SLFlUtXVp1+vT0HS8127e7YzZokLGkEx+vesstLtZx41R37XKJrm9f1dq1TyeNIkVUr7lG9ZlnVH/4QfXAAdVDh9J+HD2adedqjDnNkkSQfD7333S5cu7CdYannnJFgbNWBLZ+vWrNmq6+/6WXMl7ff/y4ar9+7ps67zz38/LLVX/7LWPHS82nn7rjP/po+vbz+VT79HH7vvhiytv88YdrM7n/ftVLLtEzShvBPPLlU33ySWs3MSarpZUkrDOdnyVLXLPDoEHultQkbdu6W4jWrAnqOOvWQdOmbo6hyZPhiisyFRYAn33mumjcfrsbYDZU8xf17Qtvv+3aUK65Jrh9Bg92n9fjj8Pw4cHt89dfsGAB/PprcNsvXgxTprjP4OWXbXoOY7JKWp3pwl4CyKpHZksSiTp3Vi1USHXnTm+Bz6datqxqjx5B7X/okGqtWq5EsmVLloSUrY4ccdVD5cu7//7T8tpr7j/9Xr1C+19+QoLqQw+597rrLle9ZYzJPOzupvR55hl3R86QId6CrVvdv71BdKJThV69YMMGmDQJqlYNYaAhUrgwTJwI+/dDz57unAL58EP3n32HDq70Ecre2/nywSuvwJNPwtixrl+If8dAY0xoWJJIpnp11yHtnXdg7VrS1Ynutddc9dKzz8KVV4Y2zlCqV8/dwvrll643dkpmzHCdEFu1ckkls8OJBEPEJe+XX3ZVT+3bu86JGXHihJs8cN48+P331JOhMXmZtUmk4K+/3HhHLVvC9AsfhhEj3IxzqTQEfP+9a3to29b1Yo70MZFU4cYb3SjoS5acOQDhokXQurUbMX3ePNdjPLu98w707g3NmsHnn0OJEsHtd/y423f4cNfbPlGRIimPb1WjhvVEN7lbWm0SliQCeO45NxbS/Dr30aLECvjhh4Db7t4NDRpA0aLughrsBSun27PHJYdSpWDpUlcVtWaNG76kTBmXGMuXD198kyfDHXe4GGfOhNQmJzx2DMaMccnh99/h8sth4EA455wzhynZuNHVMPp8p/ctV86NDn/DDe6fgAsuCPWZGZN9rOE6g9xwHT5tLHHq69c/4HYnT6q2aOEau1euzNIQcoSvv3aNxffe6xrizzvPjU6SUxrlv/xSNTra3W68Y8fZ648eVX3lFRczqDZv7rq7pNbIfvy46tq1qtOmqb7wgmuUr1VLk27HrVnT3SY8b57qqVMhOzVjsgXWTyLj3n1yi4Lq5Ie+D7jNI4+4T/GDD7L87XOMAQPcOVao4HqAr1oV7ojONG+e69ldterpHu2HD7v+KeXLu9hbtVKdOzdz77Npk7ub6+qrVQsUcMctWdLdETdhguuYb0yksSSRCfH/G6GXsFIvqHIyxV7IH3/sPsF//SvL3zpHOXHC9fwuVMj1ks6JlixxPcYrVHCd7v7xD/fdtG6tOn9+1r/fwYNucMUePdztzokd/po3d0nLmEhhSSIzevTQL4t3VlB9440zV61f74bHaNLEVU/kdgcO5JwqpkBWrz5drXT11arfBy4AZqmEBDea7qBBrjQj4qqjjh3Lnvc3JjPSShLWcJ2a2rXRatVpfewLVq2CzZvdnTyHD7tuE3/+CcuXQ+XKWfu2JuN27XI3EtSvH573P3wYHn0URo6ESy6BDz5wc4REKp/P3akX6XfrmcDSari2fhKBHDgA69cjlzXhhRfcbbEvvOCaLnv3hvXrXYc5SxA5y7nnhi9BgLvD7e234Ysv3N1hjRrB88+7CZ8iyYkT7jyqVYMKFdww8v53fJm8w5JEIEuXuozQuDGxsa6H78svu7kSJk2Cp592fQWMSckNN8Dq1dCunbvVtlWr4MepCqfjx+HNN920un37wnnnuQ6md93lbhtetizcEZrsZkkikLg499Ob/DlxuI7nnnN/+I8/HsbYTEQoWxY+/thNR7typat2eued4Ht3//676yj46qtu2tlQOnbM9a6/4AI3mVWVKvD117BwoesiNG6cS3KNGrlJsfbuDW084fTHH670d/HFULeuG+wyL7M2iUA6dHDjcmzcmLRo2DA3lMM331gvXJM+27ZBjx6uh3q7djB6NPzjH26dKuzc6f5LT3wsX+7aVhIVK+Y6Avbpk7Uj4B475tpPXnjBtec0b+7Gx7ryyrPbIQ4ccMOivPGG6zD67LNw990QFZX2+5w65RLOF1+4x2+/uaq5YsVO/0zpedGiwR0f3OfZooUbMy29bSg+n/u7Hj3ajbgcH+8+i9274Zdf3OXg5Zdd9VtuY53pMsLnc/dSdu2adcc0eV5CgurLL6uec467bfaRR9ysfYm36ybeRlunjuqdd7o+Gd995+7auvpqTZpLZN26zMeSmX4kq1aptmzp9mvQQHXhwpS3++sv13+oc2fXnwRUCxZ0k049/LDroHn77art2qlecYVqbKzrqFixopuVMV++059Leh7nn6/arZvqmDGub0tqHSd37lR9+ml3VxqolinjvpfEz/j4cdXnnlMtXNh12hwyJPdNgIXdApsBv/3mPprXX8+6YxrjWbXKTT8bFaVar54b+vyNN9zF9siRlPfx+dyMf6VKuQvtsGEZm0Hwl19UH3/8dN+OjPYj8flUJ01yF3Rw/UV273YJbfhw1WbNTl/ky5dX7dlT9ZNPXP+S9LzHkSMuoaX1OHTIfa5vvKF6882nzw9cjHfcoTpqlJv6Nz7ezUTZvr37DkD1yivd+QS6nX37dtXbbnPbVq3qeuOHcmj8Dz900x2PGhX6ibYsSWTElCnuo1m8OOuOaYwfny9jF/ndu1VvvdX9etatqxoXl/Y+x4+rTpzoLoTgLozt22dNP5JDh1zSKVDgzP/8GzRQHTzYxZeQkPn3SS+fT3XNGtW33nKfV2KJCVyJIDF5DRzoEmew5sxxJT1wpcDMzAmfkr17XckrsVQDqm3buumAQ8WSREYMGOD+XcsLveRMRPrsMzeOVr58qv37pzx/+rp1rlon8WJTtaqrWkmaUCsLrV/vptkdNSrlMbTCzedzMY4cqXrffapTp7px1zLi5Ek3Hljx4i45DhzokmVmzZrlvtP8+d0c8CdPqr76qktqZcu6klgoWJLIiBYtVBs3zrrjGRMC+/e7en1QrVbNDcZ49Kjq+PFueBBwF5ybb3YXoHD8R5+b7dql2r27JlVpDR/uSnrpdeSIm/sd3KyQy5aduX7tWlcyA/d++/dnRfSnWZJIr1OnXCvVAw9kzfGMCbH581Vr1HB/zUWLup8XXqj6/PMZu2iZ9PnhB/d/ZWJS7tQp+KQcF6d68cVu3379AjeKnzjhhn3Jl0+1SpWsHR8srSRh/SSSW7vWTXcWxEx0xuQELVrAihXu9tSbb4Y5c9wUuo89Ft75PvKKf/4T5s93l44HH3S3OV97retz8vTTrr9LcvHxMHQoNG0KR47A7Nluet5ChVJ+j4IF3S3433/v5j674goYMMD1jA+51DJIZh9AG2ADsAkYmML6V4CfvcdGYL/fugS/ddPTeq8sK0mMHu3S+saNWXM8Y0yektKNAu3auTuq4uNdY3fjxm5d166qf/+dvuMfOqTap48m3bywYkXm4iVcA/yJSJR34b8a2AEsAbqo6toA2z8A1FfVnt7rw6paNNj3y7LOdL17w9SprkupjWpmjMmETZvcjIhjx7oBQStVcpeWQoXc2Fi33JLxY3/1FfTq5Y43bJgrWWSko2U4B/hrDGxS1V9V9SQwCWifyvZdgIkhjCc4cXGuqskShDEmky680PWU374dpkxxU+3eeCOsWpW5BAFw/fXuOO3awY8/hu6SlT80hwWgIuA/4swOoElKG4pIFaAaMMdvcbSILAXigeGqOi1EcZ52+LAbla19arnMGGPSp2BB6NTJPbJS4vhgJ05EZpJIj87AFFX1H1C5iqruFJHqwBwRWaWqm/13EpF7gHsAzj///MxHsXy5G8SlSYq5zBhjchwRiI4O3fFDWd20E/CfbaGStywlnUlW1aSqO72fvwLzgLNmCVDVUaoaq6qx5cqVy3zEixe7n3ZnkzHGAKFNEkuAi0SkmogUxCWC6ck3EpGaQClgkd+yUiJyjve8LHA5kGKDd5ZavNgN85gVCccYY3KBkFU3qWq8iNwPzAKigHdVdY2IDMXdcpWYMDoDk/TM26xqASNFxIdLZMMD3RWVpeLi3MwqxhhjgBC3SajqV8BXyZYNTvZ6SAr7LQTqhjK2s+za5W5BsKomY4xJYj2uEyXORGeN1sYYk8SSRKLFiyF/fqh/Vvu4McbkWZYkEsXFuZ4ugQZPMcaYPMiSBLi+EUuWWHuEMcYkY0kC3JCZBw9ae4QxxiRjSQKsE50xxgRgSQJckihWDGrWDHckxhiTo1iSANdo3ahRxsbZNcaYXMyuiseOwcqV1h5hjDEpsCRx8CDceiu0bh3uSIwxJsfJKUOFh0/58jBhQrijMMaYHMlKEsYYYwKyJGGMMSYgSxLGGGMCsiRhjDEmIEsSxhhjArIkYYwxJiBLEsYYYwKyJGGMMSYgUdVwx5AlRGQPsC0ThygL/JVF4eQEue18IPedU247H8h955TbzgfOPqcqqlou0Ma5JklklogsVdXYcMeRVXLb+UDuO6fcdj6Q+84pt50PpP+crLrJGGNMQJYkjDHGBGRJ4rRR4Q4gi+W284Hcd0657Xwg951TbjsfSOc5WZuEMcaYgKwkYYwxJiBLEsYYYwLK80lCRNqIyAYR2SQiA8MdT1YQka0iskpEfhaRpeGOJ71E5F0R+VNEVvstKy0i34jIL97PUuGMMb0CnNMQEdnpfU8/i8j14YwxPUSksojMFZG1IrJGRB7ylkfk95TK+UTydxQtInEissI7p6e85dVEZLF3zftIRAqmepy83CYhIlHARuBqYAewBOiiqmvDGlgmichWIFZVI7ITkIi0AA4D41X1Em/ZC8A+VR3uJfNSqvp4OONMjwDnNAQ4rKovhjO2jBCRc4FzVXW5iBQDlgEdgB5E4PeUyvncSuR+RwIUUdXDIlIA+B54CHgY+ERVJ4nI28AKVR0R6Dh5vSTRGNikqr+q6klgEtA+zDHleaq6ANiXbHF74D3v+Xu4P+CIEeCcIpaq7lLV5d7zQ8A6oCIR+j2lcj4RS53D3ssC3kOBK4Ep3vI0v6O8niQqAtv9Xu8gwn8xPAp8LSLLROSecAeTRcqr6i7v+W6gfDiDyUL3i8hKrzoqIqpmkhORqkB9YDG54HtKdj4Qwd+RiESJyM/An8A3wGZgv6rGe5ukec3L60kit2qmqg2A64B/eVUduYa6OtLcUE86ArgAuBTYBbwU1mgyQESKAlOBfqp60H9dJH5PKZxPRH9HqpqgqpcClXA1JzXTe4y8niR2ApX9XlfylkU0Vd3p/fwT+BT3yxHp/vDqjRPrj/8MczyZpqp/eH/EPmA0EfY9efXcU4EJqvqJtzhiv6eUzifSv6NEqrofmAs0BUqKSH5vVZrXvLyeJJYAF3mt/QWBzsD0MMeUKSJSxGt4Q0SKANcAq1PfKyJMB7p7z7sDn4UxliyReDH1dCSCvievUfQdYJ2qvuy3KiK/p0DnE+HfUTkRKek9L4S7QWcdLlnc7G2W5neUp+9uAvBuaXsViALeVdVnwhtR5ohIdVzpASA/8GGknZOITARa4YY0/gN4EpgGTAbOxw0Jf6uqRkxDcIBzaoWrxlBgK3CvX31+jiYizYDvgFWAz1v8b1w9fsR9T6mcTxci9zuqh2uYjsIVCCar6lDvGjEJKA38BHRV1RMBj5PXk4QxxpjA8np1kzHGmFRYkjDGGBOQJQljjDEBWZIwxhgTkCUJY4wxAVmSMCYNIpLgNwroz1k5WrCIVPUfGdaYnCZ/2psYk+cd84Y2MCbPsZKEMRnkzdvxgjd3R5yIXOgtryoic7xB4b4VkfO95eVF5FNvfP8VIvJP71BRIjLaG/P/a693LCLyoDe/wUoRmRSm0zR5nCUJY9JWKFl1021+6w6oal3gf7ie+wBvAO+paj1gAvC6t/x1YL6qxgANgDXe8ouAN1W1DrAf6OQtHwjU947TJzSnZkzqrMe1MWkQkcOqWjSF5VuBK1X1V29wuN2qWkZE/sJNYHPKW75LVcuKyB6gkv8QCN6w1N+o6kXe68eBAqr6tIjMxE1UNA2Y5jc3gDHZxkoSxmSOBnieHv7j5iRwuq3wBuBNXKljid/IncZkG0sSxmTObX4/F3nPF+JGFAa4AzdwHMC3QF9ImgymRKCDikg+oLKqzgUeB0oAZ5VmjAk1+8/EmLQV8mb3SjRTVRNvgy0lIitxpYEu3rIHgLEiMgDYA9zlLX8IGCUivXAlhr64iWxSEgV84CUSAV735gQwJltZm4QxGeS1ScSq6l/hjsWYULHqJmOMMQFZScIYY0xAVpIwxhgTkCUJY4wxAVmSMMYYE5AlCWOMMQFZkjDGGBPQ/wNyqARyjZX54gAAAABJRU5ErkJggg==\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["acc = historybilstm.history['accuracy']\n","val_acc = historybilstm.history['val_accuracy']\n","\n","#------------------------------------------------\n","# Plot training and validation accuracy per epoch\n","#------------------------------------------------\n","plt.plot(epochs, acc, 'r')\n","plt.plot(epochs, val_acc, 'b')\n","plt.title('Training and validation accuracy')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Accuracy\")\n","plt.legend([\"Accuracy\", \"Validation Accuracy\"])\n","plt.show()"]},{"cell_type":"code","execution_count":60,"id":"694f40ea","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:06:53.572413Z","iopub.status.busy":"2022-04-09T09:06:53.571409Z","iopub.status.idle":"2022-04-09T09:06:55.074139Z","shell.execute_reply":"2022-04-09T09:06:55.07467Z","shell.execute_reply.started":"2022-04-09T08:26:17.581813Z"},"papermill":{"duration":3.04303,"end_time":"2022-04-09T09:06:55.07485","exception":false,"start_time":"2022-04-09T09:06:52.03182","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Accuracy : 0.7518056467498359\n","F1_Score : 0.704225352112676\n","Auc: 0.75%\n"]}],"source":["scores = bilstm_model.predict(val_pad_trunc_seq)\n","scores = np.around(scores, decimals=0)\n","print(\"Accuracy :\", metrics.accuracy_score(val_labels,scores))\n","print(\"F1_Score :\", metrics.f1_score(val_labels,scores))\n","print(\"Auc: %.2f%%\" % (roc_auc(scores,val_labels)))"]},{"cell_type":"code","execution_count":61,"id":"1b8f5e68","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:06:58.200158Z","iopub.status.busy":"2022-04-09T09:06:58.199086Z","iopub.status.idle":"2022-04-09T09:06:58.207085Z","shell.execute_reply":"2022-04-09T09:06:58.20766Z","shell.execute_reply.started":"2022-04-09T08:26:20.161641Z"},"papermill":{"duration":1.546314,"end_time":"2022-04-09T09:06:58.207846","exception":false,"start_time":"2022-04-09T09:06:56.661532","status":"completed"},"tags":[]},"outputs":[],"source":["scores_model.append({'Model': 'Bi-directional','AUC_Score': roc_auc(scores,val_labels),'Accuracy_Score': metrics.accuracy_score(val_labels,scores),\n","                    'F1_Score': metrics.f1_score(val_labels,scores)})"]},{"cell_type":"markdown","id":"f0f579fa","metadata":{"papermill":{"duration":1.534967,"end_time":"2022-04-09T09:07:01.280042","exception":false,"start_time":"2022-04-09T09:06:59.745075","status":"completed"},"tags":[]},"source":["## Bidirectional LSTM + Dropout "]},{"cell_type":"code","execution_count":62,"id":"3b72b855","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:07:04.360015Z","iopub.status.busy":"2022-04-09T09:07:04.359239Z","iopub.status.idle":"2022-04-09T09:07:04.361575Z","shell.execute_reply":"2022-04-09T09:07:04.3621Z","shell.execute_reply.started":"2022-04-09T08:26:20.173851Z"},"papermill":{"duration":1.549176,"end_time":"2022-04-09T09:07:04.362268","exception":false,"start_time":"2022-04-09T09:07:02.813092","status":"completed"},"tags":[]},"outputs":[],"source":["def Bi_LSTM_Drop(vocab_size, embedding_dim, maxlen, embeddings_matrix):\n","    bilstm_Drop_model = tf.keras.Sequential([ \n","        # This is how you need to set the Embedding layer when using pre-trained embeddings\n","        tf.keras.layers.Embedding(VOCAB_SIZE+1, EMBEDDING_DIM, input_length=MAXLEN, weights=[EMBEDDINGS_MATRIX], trainable=False),\n","        tf.keras.layers.Dropout(0.5),\n","        tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(128, return_sequences=True, dropout = 0.5)),\n","        tf.keras.layers.Bidirectional(tf.keras.layers.LSTM(64, dropout = 0.5)),\n","        tf.keras.layers.Dropout(0.5),\n","        #tf.keras.layers.Dense(16, activation = \"relu\"),\n","        tf.keras.layers.Dense(1, activation='sigmoid'),\n","])\n","    bilstm_Drop_model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])\n","    return bilstm_Drop_model"]},{"cell_type":"code","execution_count":63,"id":"87a9bf1d","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:07:07.616071Z","iopub.status.busy":"2022-04-09T09:07:07.615326Z","iopub.status.idle":"2022-04-09T09:07:08.648694Z","shell.execute_reply":"2022-04-09T09:07:08.647967Z","shell.execute_reply.started":"2022-04-09T08:26:20.183847Z"},"papermill":{"duration":2.665722,"end_time":"2022-04-09T09:07:08.648853","exception":false,"start_time":"2022-04-09T09:07:05.983131","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Model: \"sequential_2\"\n","_________________________________________________________________\n","Layer (type)                 Output Shape              Param #   \n","=================================================================\n","embedding_2 (Embedding)      (None, 30, 100)           1618800   \n","_________________________________________________________________\n","dropout (Dropout)            (None, 30, 100)           0         \n","_________________________________________________________________\n","bidirectional_1 (Bidirection (None, 30, 256)           234496    \n","_________________________________________________________________\n","bidirectional_2 (Bidirection (None, 128)               164352    \n","_________________________________________________________________\n","dropout_1 (Dropout)          (None, 128)               0         \n","_________________________________________________________________\n","dense_2 (Dense)              (None, 1)                 129       \n","=================================================================\n","Total params: 2,017,777\n","Trainable params: 398,977\n","Non-trainable params: 1,618,800\n","_________________________________________________________________\n"]}],"source":["bilstm_Drop_model = Bi_LSTM_Drop(VOCAB_SIZE, EMBEDDING_DIM, MAXLEN, EMBEDDINGS_MATRIX)\n","bilstm_Drop_model.summary()"]},{"cell_type":"code","execution_count":64,"id":"4a4ff31a","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:07:11.793918Z","iopub.status.busy":"2022-04-09T09:07:11.792895Z","iopub.status.idle":"2022-04-09T09:15:34.035855Z","shell.execute_reply":"2022-04-09T09:15:34.03524Z","shell.execute_reply.started":"2022-04-09T08:26:21.139864Z"},"papermill":{"duration":503.784091,"end_time":"2022-04-09T09:15:34.036011","exception":false,"start_time":"2022-04-09T09:07:10.25192","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Epoch 1/30\n","96/96 [==============================] - 27s 187ms/step - loss: 0.5847 - accuracy: 0.7015 - val_loss: 0.5060 - val_accuracy: 0.7689\n","Epoch 2/30\n","96/96 [==============================] - 17s 178ms/step - loss: 0.5372 - accuracy: 0.7399 - val_loss: 0.5143 - val_accuracy: 0.7577\n","Epoch 3/30\n","96/96 [==============================] - 16s 169ms/step - loss: 0.5260 - accuracy: 0.7506 - val_loss: 0.4899 - val_accuracy: 0.7866\n","Epoch 4/30\n","96/96 [==============================] - 16s 171ms/step - loss: 0.5273 - accuracy: 0.7502 - val_loss: 0.4928 - val_accuracy: 0.7859\n","Epoch 5/30\n","96/96 [==============================] - 16s 164ms/step - loss: 0.5141 - accuracy: 0.7571 - val_loss: 0.4858 - val_accuracy: 0.7833\n","Epoch 6/30\n","96/96 [==============================] - 16s 169ms/step - loss: 0.5148 - accuracy: 0.7557 - val_loss: 0.5211 - val_accuracy: 0.7433\n","Epoch 7/30\n","96/96 [==============================] - 17s 170ms/step - loss: 0.5128 - accuracy: 0.7516 - val_loss: 0.4855 - val_accuracy: 0.7827\n","Epoch 8/30\n","96/96 [==============================] - 17s 177ms/step - loss: 0.5094 - accuracy: 0.7544 - val_loss: 0.4930 - val_accuracy: 0.7807\n","Epoch 9/30\n","96/96 [==============================] - 16s 165ms/step - loss: 0.5061 - accuracy: 0.7686 - val_loss: 0.4824 - val_accuracy: 0.7892\n","Epoch 10/30\n","96/96 [==============================] - 16s 167ms/step - loss: 0.4989 - accuracy: 0.7693 - val_loss: 0.4969 - val_accuracy: 0.7728\n","Epoch 11/30\n","96/96 [==============================] - 17s 177ms/step - loss: 0.4996 - accuracy: 0.7657 - val_loss: 0.4828 - val_accuracy: 0.7807\n","Epoch 12/30\n","96/96 [==============================] - 17s 179ms/step - loss: 0.5037 - accuracy: 0.7652 - val_loss: 0.4745 - val_accuracy: 0.7919\n","Epoch 13/30\n","96/96 [==============================] - 16s 166ms/step - loss: 0.4926 - accuracy: 0.7709 - val_loss: 0.4846 - val_accuracy: 0.7748\n","Epoch 14/30\n","96/96 [==============================] - 16s 169ms/step - loss: 0.4937 - accuracy: 0.7680 - val_loss: 0.4724 - val_accuracy: 0.7859\n","Epoch 15/30\n","96/96 [==============================] - 17s 173ms/step - loss: 0.4867 - accuracy: 0.7704 - val_loss: 0.4818 - val_accuracy: 0.7761\n","Epoch 16/30\n","96/96 [==============================] - 17s 182ms/step - loss: 0.4938 - accuracy: 0.7686 - val_loss: 0.4872 - val_accuracy: 0.7761\n","Epoch 17/30\n","96/96 [==============================] - 16s 164ms/step - loss: 0.4858 - accuracy: 0.7785 - val_loss: 0.4938 - val_accuracy: 0.7735\n","Epoch 18/30\n","96/96 [==============================] - 16s 166ms/step - loss: 0.4807 - accuracy: 0.7760 - val_loss: 0.4799 - val_accuracy: 0.7892\n","Epoch 19/30\n","96/96 [==============================] - 17s 173ms/step - loss: 0.4806 - accuracy: 0.7759 - val_loss: 0.4962 - val_accuracy: 0.7781\n","Epoch 20/30\n","96/96 [==============================] - 16s 163ms/step - loss: 0.4801 - accuracy: 0.7690 - val_loss: 0.4981 - val_accuracy: 0.7820\n","Epoch 21/30\n","96/96 [==============================] - 17s 178ms/step - loss: 0.4755 - accuracy: 0.7800 - val_loss: 0.4956 - val_accuracy: 0.7800\n","Epoch 22/30\n","96/96 [==============================] - 16s 163ms/step - loss: 0.4747 - accuracy: 0.7837 - val_loss: 0.5195 - val_accuracy: 0.7630\n","Epoch 23/30\n","96/96 [==============================] - 17s 176ms/step - loss: 0.4749 - accuracy: 0.7773 - val_loss: 0.4809 - val_accuracy: 0.7925\n","Epoch 24/30\n","96/96 [==============================] - 16s 163ms/step - loss: 0.4700 - accuracy: 0.7790 - val_loss: 0.5238 - val_accuracy: 0.7623\n","Epoch 25/30\n","96/96 [==============================] - 17s 176ms/step - loss: 0.4711 - accuracy: 0.7859 - val_loss: 0.4978 - val_accuracy: 0.7676\n","Epoch 26/30\n","96/96 [==============================] - 16s 166ms/step - loss: 0.4635 - accuracy: 0.7819 - val_loss: 0.4912 - val_accuracy: 0.7971\n","Epoch 27/30\n","96/96 [==============================] - 17s 178ms/step - loss: 0.4580 - accuracy: 0.7890 - val_loss: 0.5023 - val_accuracy: 0.7722\n","Epoch 28/30\n","96/96 [==============================] - 16s 163ms/step - loss: 0.4541 - accuracy: 0.7964 - val_loss: 0.4807 - val_accuracy: 0.7814\n","Epoch 29/30\n","96/96 [==============================] - 17s 179ms/step - loss: 0.4644 - accuracy: 0.7906 - val_loss: 0.4852 - val_accuracy: 0.7899\n","Epoch 30/30\n","96/96 [==============================] - 16s 163ms/step - loss: 0.4581 - accuracy: 0.7944 - val_loss: 0.4896 - val_accuracy: 0.7886\n"]}],"source":["historybilastm_drop = bilstm_Drop_model.fit(x = train_pad_trunc_seq, validation_data=(val_pad_trunc_seq, val_labels), y = train_labels, epochs = 30, batch_size=64)"]},{"cell_type":"code","execution_count":65,"id":"1f74e072","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:15:39.352461Z","iopub.status.busy":"2022-04-09T09:15:39.351808Z","iopub.status.idle":"2022-04-09T09:15:39.574412Z","shell.execute_reply":"2022-04-09T09:15:39.573811Z","shell.execute_reply.started":"2022-04-09T08:35:08.413612Z"},"papermill":{"duration":2.82209,"end_time":"2022-04-09T09:15:39.574557","exception":false,"start_time":"2022-04-09T09:15:36.752467","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["#-----------------------------------------------------------\n","# Retrieve a list of list results on training and test data\n","# sets for each training epoch\n","#-----------------------------------------------------------\n","loss = historybilastm_drop.history['loss']\n","val_loss = historybilastm_drop.history['val_loss']\n","\n","epochs = [*range(30)]\n","\n","#------------------------------------------------\n","# Plot training and validation loss per epoch\n","#------------------------------------------------\n","plt.plot(epochs, loss, 'r')\n","plt.plot(epochs, val_loss, 'b')\n","plt.title('Training and validation loss')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Loss\")\n","plt.legend([\"Loss\", \"Validation Loss\"])\n","plt.show()"]},{"cell_type":"code","execution_count":66,"id":"2da15690","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:15:44.80096Z","iopub.status.busy":"2022-04-09T09:15:44.799976Z","iopub.status.idle":"2022-04-09T09:15:45.01709Z","shell.execute_reply":"2022-04-09T09:15:45.017697Z","shell.execute_reply.started":"2022-04-09T08:35:08.621997Z"},"papermill":{"duration":2.823094,"end_time":"2022-04-09T09:15:45.017883","exception":false,"start_time":"2022-04-09T09:15:42.194789","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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\n","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["acc = historybilastm_drop.history['accuracy']\n","val_acc = historybilastm_drop.history['val_accuracy']\n","\n","#------------------------------------------------\n","# Plot training and validation accuracy per epoch\n","#------------------------------------------------\n","plt.plot(epochs, acc, 'r')\n","plt.plot(epochs, val_acc, 'b')\n","plt.title('Training and validation accuracy')\n","plt.xlabel(\"Epochs\")\n","plt.ylabel(\"Accuracy\")\n","plt.legend([\"Accuracy\", \"Validation Accuracy\"])\n","plt.show()"]},{"cell_type":"code","execution_count":67,"id":"a300c2d4","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:15:50.280997Z","iopub.status.busy":"2022-04-09T09:15:50.279858Z","iopub.status.idle":"2022-04-09T09:15:53.422144Z","shell.execute_reply":"2022-04-09T09:15:53.421494Z","shell.execute_reply.started":"2022-04-09T08:35:08.826213Z"},"papermill":{"duration":5.738235,"end_time":"2022-04-09T09:15:53.422289","exception":false,"start_time":"2022-04-09T09:15:47.684054","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Accuracy : 0.788575180564675\n","F1_Score : 0.7364975450081832\n","Auc: 0.78%\n"]}],"source":["scores = bilstm_Drop_model.predict(val_pad_trunc_seq)\n","scores = np.around(scores, decimals=0)\n","print(\"Accuracy :\", metrics.accuracy_score(val_labels,scores))\n","print(\"F1_Score :\", metrics.f1_score(val_labels,scores))\n","print(\"Auc: %.2f%%\" % (roc_auc(scores,val_labels)))"]},{"cell_type":"code","execution_count":68,"id":"7d8ae11d","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:15:58.685742Z","iopub.status.busy":"2022-04-09T09:15:58.68505Z","iopub.status.idle":"2022-04-09T09:15:58.692664Z","shell.execute_reply":"2022-04-09T09:15:58.69319Z","shell.execute_reply.started":"2022-04-09T08:35:12.075576Z"},"papermill":{"duration":2.667224,"end_time":"2022-04-09T09:15:58.693393","exception":false,"start_time":"2022-04-09T09:15:56.026169","status":"completed"},"tags":[]},"outputs":[],"source":["scores_model.append({'Model': 'Bi-directional_Dropout','AUC_Score': roc_auc(scores,val_labels),'Accuracy_Score': metrics.accuracy_score(val_labels,scores),\n","                    'F1_Score': metrics.f1_score(val_labels,scores)})"]},{"cell_type":"markdown","id":"d0ec8125","metadata":{"papermill":{"duration":2.604195,"end_time":"2022-04-09T09:16:03.882671","exception":false,"start_time":"2022-04-09T09:16:01.278476","status":"completed"},"tags":[]},"source":["## Result table"]},{"cell_type":"code","execution_count":69,"id":"88454860","metadata":{"execution":{"iopub.execute_input":"2022-04-09T09:16:09.30272Z","iopub.status.busy":"2022-04-09T09:16:09.301676Z","iopub.status.idle":"2022-04-09T09:16:09.317142Z","shell.execute_reply":"2022-04-09T09:16:09.317764Z","shell.execute_reply.started":"2022-04-09T08:35:12.085038Z"},"papermill":{"duration":2.82579,"end_time":"2022-04-09T09:16:09.317938","exception":false,"start_time":"2022-04-09T09:16:06.492148","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_1892c_row0_col1, #T_1892c_row0_col2, #T_1892c_row0_col3 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_1892c_row1_col1 {\n","  background-color: #cadef0;\n","  color: #000000;\n","}\n","#T_1892c_row1_col2 {\n","  background-color: #f0f6fd;\n","  color: #000000;\n","}\n","#T_1892c_row1_col3 {\n","  background-color: #87bddc;\n","  color: #000000;\n","}\n","#T_1892c_row2_col1, #T_1892c_row2_col2, #T_1892c_row2_col3 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_1892c_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Model</th>\n","      <th class=\"col_heading level0 col1\" >AUC_Score</th>\n","      <th class=\"col_heading level0 col2\" >Accuracy_Score</th>\n","      <th class=\"col_heading level0 col3\" >F1_Score</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_1892c_level0_row0\" class=\"row_heading level0 row0\" >2</th>\n","      <td id=\"T_1892c_row0_col0\" class=\"data row0 col0\" >Bi-directional_Dropout</td>\n","      <td id=\"T_1892c_row0_col1\" class=\"data row0 col1\" >0.776751</td>\n","      <td id=\"T_1892c_row0_col2\" class=\"data row0 col2\" >0.788575</td>\n","      <td id=\"T_1892c_row0_col3\" class=\"data row0 col3\" >0.736498</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_1892c_level0_row1\" class=\"row_heading level0 row1\" >0</th>\n","      <td id=\"T_1892c_row1_col0\" class=\"data row1 col0\" >LSTM</td>\n","      <td id=\"T_1892c_row1_col1\" class=\"data row1 col1\" >0.752320</td>\n","      <td id=\"T_1892c_row1_col2\" class=\"data row1 col2\" >0.753119</td>\n","      <td id=\"T_1892c_row1_col3\" class=\"data row1 col3\" >0.718141</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_1892c_level0_row2\" class=\"row_heading level0 row2\" >1</th>\n","      <td id=\"T_1892c_row2_col0\" class=\"data row2 col0\" >Bi-directional</td>\n","      <td id=\"T_1892c_row2_col1\" class=\"data row2 col1\" >0.745005</td>\n","      <td id=\"T_1892c_row2_col2\" class=\"data row2 col2\" >0.751806</td>\n","      <td id=\"T_1892c_row2_col3\" class=\"data row2 col3\" >0.704225</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x7f30ac5246d0>"]},"execution_count":69,"metadata":{},"output_type":"execute_result"}],"source":["# Visualization of Results obtained from various Deep learning models\n","results = pd.DataFrame(scores_model).sort_values(by='AUC_Score',ascending=False)\n","results.style.background_gradient(cmap='Blues')"]},{"cell_type":"markdown","id":"91177c4e","metadata":{"papermill":{"duration":2.606565,"end_time":"2022-04-09T09:16:14.506685","exception":false,"start_time":"2022-04-09T09:16:11.90012","status":"completed"},"tags":[]},"source":["### Edit by Sira Haruethaipree"]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.12"},"papermill":{"default_parameters":{},"duration":973.086178,"end_time":"2022-04-09T09:16:20.39948","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2022-04-09T09:00:07.313302","version":"2.3.3"}},"nbformat":4,"nbformat_minor":5}