Retrieve a matrix of topic weights for every document

Description

This function returns a matrix with one row for every document and one column for every topic.

Usage

1
mallet.doc.topics(topic.model, normalized, smoothed)

Arguments

topic.model

The model returned by MalletLDA

normalized

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

smoothed

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