title: How to calculate the sentence similarity using word2vec model of gensim with python
body: <p>According to the <a href="http://radimrehurek.com/gensim/models/word2vec.html" rel="noreferrer">Gensim Word2Vec</a>, I can use the word2vec model in gensim package to calculate the similarity between 2 words.</p>
  
  <p>e.g.</p>
  
  <pre><code>trained_model.similarity('woman', 'man') 
  0.73723527
  </code></pre>
  
  <p>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?</p>