Word2vec.py 文件源码

def main():

    sentences = TextLoader()
    model = gensim.models.Word2Vec(sentences, sg=1, min_count=5, size=50, workers=8, window=2)
    model.save('word2vector.model')
    print 'word2vec ok'

    # word2vec = Word2vec()
    # word2vec.BetweenToVec()