lda.fit: Estimate a topic model using the lda package

In kasperwelbers/corpus-tools: tools for corpus analysis

Description

Estimate an LDA topic model using the LDA function The parameters other than dtm are simply passed to the sampler but provide a workable default. See the description of that function for more information

Usage

lda.fit(dtm, method = "Gibbs", K = 50, num.iterations = 500,
  alpha = 50/K, eta = 0.01, burnin = 250)

Arguments

dtm	a document term matrix (e.g. the output of amcat.dtm.create)
K	the number of clusters
num.iterations	the number of iterations
alpha	the alpha parameter
eta	the eta parameter

Value

A fitted LDA model (see LDA)

kasperwelbers/corpus-tools documentation built on May 20, 2019, 7:37 a.m.