Papers with topic model PhraseCTM

1 papers
PhraseCTM: Correlated Topic Modeling on Phrases within Markov Random Fields (P18-2)

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Challenge: Recent phrase-level topic models are unable to capture the correlation structure among the discovered topics.
Approach: They propose a phrase-level topic model PhraseCTM and a method to find out the correlations of topics at phrase level.
Outcome: The proposed method shows that correlated topic modeling is a good way to interpret themes of corpus.

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