Description Usage Arguments Value References Examples
View source: R/dist_from_corpus.R
The Hellinger distance between the token probabilities or betas for each topic and the overall probability for the word in the corpus is calculated.
1 | dist_from_corpus(topic_model, dtm_data)
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topic_model |
a fitted topic model object from one of the following:
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dtm_data |
a document-term matrix of token counts coercible to |
A vector of distances with length equal to the number of topics in the fitted model
Jordan Boyd-Graber, David Mimno, and David Newman, 2014. Care and Feeding of Topic Models: Problems, Diagnostics, and Improvements. CRC Handbooks ofModern Statistical Methods. CRC Press, Boca Raton, Florida.
1 2 3 4 5 | # Using the example from the LDA function
library(topicmodels)
data("AssociatedPress", package = "topicmodels")
lda <- LDA(AssociatedPress[1:20,], control = list(alpha = 0.1), k = 2)
dist_from_corpus(lda, AssociatedPress[1:20,])
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