Hidden Topic Markov Model
announcementpaper (pdf)
code
It differs notably from others in that, rather than treat each document as a single “bag of words,” it imposes a temporal Markov structure on the document. In this way, it is able to account for shifting topics within a document, and in so doing, provides a topic segmentation within the document, and also seems to effectively distinguish among multiple senses that the same word may have in different contexts within the same document.
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