from gensim.models import word2vec
import logging
logging.basicConfig(format='%(asctime)s : %(levelname)s : %(message)s', level=logging.INFO)

sentences = word2vec.Text8Corpus('text8')
model = word2vec.Word2Vec(sentences, size=200)
print model.most_similar_cosmul(positive=['business','intelligence'], negative=[''], topn=1)
