topics: Extract most likely topics

In seededlda: Seeded Sequential LDA for Topic Modeling

Extract most likely topics

Description

topics() returns the most likely topics for documents based on the theta parameter.

Usage

topics(x, min_prob = 0, select = NULL)

Arguments

x	a LDA model fitted by textmodel_seededlda() or textmodel_lda()
min_prob	ignores topics if their probability is lower than this value.
select	returns the selected topic with the highest probability; specify by the names of columns in x$theta.

Details

Users can access the original matrix x$theta for likelihood scores; run max.col(x$theta) to obtain the same result as topics(x).

Value

Returns predicted topics as a vector.

seededlda documentation built on April 4, 2025, 2:33 a.m.