According to the Gensim Word2Vec, I can use the word2vec model in gensim package to calculate the similarity between 2 words.
trained_model.similarity('woman', 'man') 0.73723527
However, the word2vec model fails to predict the sentence similarity. I find out the LSI model with sentence similarity in gensim, but, which doesn't seem that can be combined with word2vec model. The length of corpus of each sentence I have is not very long (shorter than 10 words). So, are there any simple ways to achieve the goal?