gensim.models.LdaModel.get_document_topics¶

LdaModel.get_document_topics(bow, minimum_probability=None, minimum_phi_value=None, per_word_topics=False)[source]¶

Return topic distribution for the given document bow, as a list of (topic_id, topic_probability) 2-tuples.

Ignore topics with very low probability (below minimum_probability).

If per_word_topics is True, it also returns a list of topics, sorted in descending order of most likely topics for that word. It also returns a list of word_ids and each words corresponding topics’ phi_values, multiplied by feature length (i.e, word count)