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%0 Conference Proceedings
%T Topic Analysis Using a Finite Mixture Model
%A Li, Hang
%A Yamanishi, Kenji
%S 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
%D 2000
%8 October
%I Association for Computational Linguistics
%C Hong Kong, China
%F li-yamanishi-2000-topic
%R 10.3115/1117794.1117799
%U https://aclanthology.org/W00-1305
%U https://doi.org/10.3115/1117794.1117799
%P 35-44

Markdown (Informal)

[Topic Analysis Using a Finite Mixture Model](https://aclanthology.org/W00-1305) (Li & Yamanishi, VLC-EMNLP 2000)

• Topic Analysis Using a Finite Mixture Model (Li & Yamanishi, VLC-EMNLP 2000)

ACL

• Hang Li and Kenji Yamanishi. 2000. Topic Analysis Using a Finite Mixture Model. In 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pages 35–44, Hong Kong, China. Association for Computational Linguistics.