문제

I know that after training the lda model for gensim, we can get the topic for an unseen document by:

lda = LdaModel(corpus, num_topics=10)
doc_lda = lda[doc_bow]

But how about the documents that are already used for training? I mean is there a way to get the topic for a document in corpus that was used in training without treating it like a new document?

도움이 되었습니까?

해결책

No.

Information from individual documents is distilled into the model, then forgotten. No per-document information is kept (more generally: no information that would require O(#docs) memory is kept).

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