text_plain_output_1.png
import gensim

import nltk

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

path = '../input/embeddings/GoogleNews-vectors-negative300/GoogleNews-vectors-negative300.bin'
embeddings = gensim.models.KeyedVectors.load_word2vec_format(path, binary=True)

pd.Series(embeddings['modi'][:5])

url = 'https://bit.ly/2S2yXEd'
data = pd.read_csv(url)

doc1 = data.iloc[0, 0]
print(doc1)
print(nltk.word_tokenize(doc1.lower()))