Search Results for author: Shusei Eshima

Found 1 papers, 1 papers with code

Keyword Assisted Topic Models

1 code implementation13 Apr 2020 Shusei Eshima, Kosuke Imai, Tomoya Sasaki

An important advantage of the proposed keyword assisted topic model (keyATM) is that the specification of keywords requires researchers to label topics prior to fitting a model to the data.

Document Classification Topic Models

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