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This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| import tensorflow as tf | |
| import tensorflow_hub as hub | |
| import pandas as pd | |
| from sklearn.model_selection import train_test_split | |
| import numpy as np | |
| import re | |
| import unicodedata | |
| import nltk | |
| from nltk.corpus import stopwords | |
| import keras |
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| import nltk | |
| from nltk.corpus import stopwords | |
| from gensim.models import Word2Vec,KeyedVectors | |
| from gensim.test.utils import datapath | |
| import re | |
| import glob | |
| from tqdm import tqdm | |
| import gensim | |
| import multiprocessing | |
| import random |
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| import nltk | |
| from nltk.corpus import stopwords | |
| from gensim.models import Word2Vec,KeyedVectors | |
| from gensim.test.utils import datapath | |
| import re | |
| import glob | |
| from tqdm import tqdm | |
| import gensim | |
| import multiprocessing | |
| import random |
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| import nltk | |
| from nltk.corpus import stopwords | |
| from gensim.models import Word2Vec,KeyedVectors | |
| from gensim.test.utils import datapath | |
| import re | |
| import glob | |
| from tqdm import tqdm | |
| import gensim | |
| import multiprocessing | |
| import random |
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| import spacy | |
| import nltk | |
| import re | |
| from nltk.corpus import stopwords,wordnet | |
| import unicodedata | |
| import string | |
| from nltk.tokenize import word_tokenize,sent_tokenize | |
| from nltk.stem import WordNetLemmatizer, PorterStemmer, LancasterStemmer | |
| stopwords_list=stopwords.words('english') |