LabelTopics.Rd
Function calls GetProbableTerms
with some
rules to get topic labels. This function is in "super-ultra-mega alpha"; use
at your own risk/discretion.
LabelTopics(assignments, dtm, M = 2)
assignments | A documents by topics matrix similar to |
---|---|
dtm | A document term matrix of class |
M | The number of n-gram labels you want to return. Defaults to 2 |
Returns a matrix
whose rows correspond to topics and whose
j-th column corresponds to the j-th "best" label assignment.
# make a dtm with unigrams and bigrams data(nih_sample_topic_model) m <- nih_sample_topic_model assignments <- t(apply(m$theta, 1, function(x){ x[ x < 0.05 ] <- 0 x / sum(x) })) assignments[is.na(assignments)] <- 0 labels <- LabelTopics(assignments = assignments, dtm = m$data, M = 2)#>