Gensim: topic modelling for humans

class gensim.models.doc2vec.Doc2Vec(documents=None, corpus_file=None, vector_size=100, dm_mean=None, dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1, dv=None, dv_mapfile=None, comment=None, trim_rule=None, callbacks=(), window=5, epochs=10, shrink_windows=True, **kwargs)¶ Bases: Word2Vec Class for training, using and evaluating neural networks described in Distributed Representations of Sentences