mallet.doc.topics
From mallet v1.0
by David Mimno
Retrieve a matrix of topic weights for every document
This function returns a matrix with one row for every document and one column for every topic.
Usage
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
inMalletLDA
). If false, many values will be zero.
Community examples
Looks like there are no examples yet.