Note the documents are defined as a distribution over topics. This returns the highest probability for a given topic, but it is possible the 2nd to high topic may have about the same probability.

GetDocumentsAssignedToTopicK(lda.model, k)

Arguments

lda.model

A single lda model.

k

The topic k (e.g. topic 5 from a lda model of 10 topics) to list the documents.

Value

The list of documents for topic k in lda.model.