I have learned in some essays (Tomas Mikolov...) that a better way of forming the vector for a sentence is to concatenate the word-vector.
but due to my clumsy in m
There are at least three common ways to combine embedding vectors; (a) summing, (b) summing & averaging or (c) concatenating. So in your case, with concatenating, that would give you a 1 x m*a
vector, where a
is the number of sentences. In the other cases, the vector length stays the same. See gensim.models.doc2vec.Doc2Vec
, dm_concat
and dm_mean
- it allows you to use any of those three options [1,2].
[1] http://radimrehurek.com/gensim/models/doc2vec.html#gensim.models.doc2vec.LabeledLineSentence
[2] https://github.com/piskvorky/gensim/blob/develop/gensim/models/doc2vec.py