Retrieve a matrix of words weights for topics

Description

This function returns a matrix with one row for every topic and one column for every word in the vocabulary.

Usage

1
mallet.topic.words(topic.model, normalized, smoothed)

Arguments

topic.model

The model returned by MalletLDA

normalized

If true, normalize the rows so that each topic sums to one. If false, values will be integers (possibly plus the smoothing constant) representing the actual number of words of each type in the topics.

smoothed

If true, add the smoothing parameter for the model (initial value specified as beta in MalletLDA). If false, many values will be zero.