title: how word2vec model integrating with lstm model?
body: <p>For a natural language processing (NLP) task one often uses word2vec vectors as an embedding for the words.however i still dont understand how word2vec model integrating with lstm model?</p>
  
  <p>How should such unknown words be handled when modeling a NLP task such as sentiment prediction using a long short-term (LSTM) network? </p>