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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
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
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
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
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')