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    $\begingroup$ Right, people are not documenting this well. The reason is that these are application-specific optimisations, so you are expected to train your own models anyway. One other library that contains pre-trained word2vec models is spaCy.io. It is well-documented and the developers are responsive on GitHub. $\endgroup$ Commented Dec 4, 2016 at 20:50
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    $\begingroup$ I should also point out that if you are very curious about a specific behaviour, you should just test it. For example, if vec('apple') == vec('Apple'). $\endgroup$ Commented Dec 4, 2016 at 20:50
  • $\begingroup$ Here is blog of sebastian ruder , very preciously explain word2vec preprocessing. $\endgroup$ Commented Jun 7, 2017 at 3:33
  • $\begingroup$ And Also check stanford Pre trained word embedding. $\endgroup$ Commented Jun 7, 2017 at 3:45