I am doing some analysis on document similarity and was also interested in word similarity. I know that doc2vec inherits from word2vec and by default trains using word vectors which we can access.

My question is:

Should we expect these word vectors and by association any of the methods such as most_similar to be 'better' than word2vec or are they essentially going to be the same? If in the future I only wanted word similarity should I just default to word2vec?

  • $\begingroup$ I think it might depend on the doc2vec implementation; which one are you using? $\endgroup$ – Darren Cook Feb 8 at 18:39
  • $\begingroup$ @DarrenCook Just the default implementation in Gensim $\endgroup$ – Tylerr Feb 9 at 0:33

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