mallet.topic.words
From mallet v1.0
by David Mimno
Retrieve a matrix of words weights for topics
This function returns a matrix with one row for every topic and one column for every word in the vocabulary.
Usage
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
inMalletLDA
). If false, many values will be zero.
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