A length K vector where each entry indicates the total number of times words were assigned to each topic. document_sums: A K \times D matrix where each entry is an integer indicating the number of times words in each document (column) were assigned to each topic (column). log.likelihoods: Only for lda.collapsed.gibbs.sampler. Optimal Number of topics for LDA; by Nidhi; Last updated over 5 years ago; Hide Comments (–) Share Hide Toolbars.
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