text_plain_output_1.png
import gensim

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

embeddings.most_similar('modi', topn=10)