somehow combine fastText with doc2vec

[giacbrd]

fastText supervised model does not take into account of the document and words representation, it just learns bag of words and labels.
embeddings are computed only on the relation word->label. it would be interesting to learn jointly the semantic relation label<->document<->word<->context.
for now it is only possible to pre-train word embeddings and then use them as initial vectors for the classification algorithm

[giacbrd]

see https://github.com/Skarface-/fastText_doc2vec