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Written by torontoai on . Posted in Reddit MachineLearning.
In my company we do not train word2vec (or Glove or fastext) for each context separately (i.e. we use the same algorithm for movie reviews and for food reviews). as i think meaning changes based on context (go read the book is a good sentiment for a book review but bad one for movie review), I was wondering do you train your embedding algorithm for each context or not.
thanks!
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