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Created Oct 5, 2020
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import pandas as pd
import string
import numpy as np
import json
from keras.preprocessing.sequence import pad_sequences
from keras.layers import Embedding, LSTM, Dense, Dropout
from keras.preprocessing.text import Tokenizer
from keras.callbacks import EarlyStopping
from keras.models import Sequential
import keras.utils as ku
import tensorflow as tf
from numpy.random import seed
#load all the datasets
df1 = pd.read_csv('USvideos.csv')
df2 = pd.read_csv('CAvideos.csv')
df3 = pd.read_csv('GBvideos.csv')
#load the datasets containing the category names
data1 = json.load(open('US_category_id.json'))
data2 = json.load(open('CA_category_id.json'))
data3 = json.load(open('GB_category_id.json'))
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