Topic Analysis Using a Finite Mixture Model

Hang Li, Kenji Yamanishi


Anthology ID:
W00-1305
Volume:
2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora
Month:
October
Year:
2000
Address:
Hong Kong, China
Venues:
ACL | EMNLP | VLC | WS
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
35–44
Language:
URL:
https://aclanthology.org/W00-1305
DOI:
10.3115/1117794.1117799
Bibkey:
Cite (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.
Cite (Informal):
Topic Analysis Using a Finite Mixture Model (Li & Yamanishi, 2000)
Copy Citation:
PDF:
https://aclanthology.org/W00-1305.pdf