title: Using Word2Vec for topic modeling
body: <p>I have read that the most common technique for topic modeling (extracting possible topics from text) is Latent Dirichlet allocation (LDA).</p>
  
  <p>However, I am interested whether it is a good idea to try out topic modeling with Word2Vec as it clusters words in vector space. Couldn't the clusters therefore be regarded as topics?</p>
  
  <p>Do you think it makes sense to follow this approach for the sake of some research? In the end what I am interested in is to extract keywords from text according to topics.</p>