title: Word embeddings for the same word from two different texts
body: <p>If I calculate word2vec for the same word (say, "monkey"), one time on the basis of one large text from the year 1800 and another time on the basis of one large text from the year 2000, then the results would not be comparable from my point of view. Am I right? And why is it so?
  I have the following idea: the text from the past may have complete different vocabulary, which is the problem. But how one can then cure it (make embeddings comparable)?</p>
  
  <p>Thanks in advance.</p>