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terms() returns the most likely terms, or words, for topics based on the phi parameter.

Usage

terms(x, n = 10)

Arguments

x

a LDA model fitted by textmodel_seededlda() or textmodel_lda().

n

number of terms to be extracted.

Value

a character matrix with the most frequent words in each topic.

Details

Users can access the original matrix x$phi for likelihood scores.