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!