The Hellinger distance between the token probabilities or betas for each topic and the overall probability for the word in the corpus is calculated.
a fitted topic model object from one of the following:
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.
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