ITWF: A framework to apply term weighting schemes in topic model

Neurocomputing, pp. 248-260, 2019.

Cited by: 1|Views48


Topic models like Latent Dirichlet Allocation (LDA) and its variants is a type of statistical model for discovering latent topics. However, as revealed by the previous research, some topics generated by LDA may be uninterpretable and semantically incoherent due to the occurrence of irrelevant words in these topics. To improve the semantic...More



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