SSHLDA: A semi-supervised hierarchical topic model

EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference

Volumn , Issue , 2012, Pages 800-809

  Mao, Xian Ling ^a   Ming, Zhao Yan ^b   Chua, Tat Seng ^b   Li, Si ^c   Yan, Hongfei ^a   Li, Xiaoming ^a  

^a PEKING UNIVERSITY   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SPACE; F-SCORE; HIERARCHICAL TOPIC MODELS; LATENT DIRICHLET ALLOCATION; MODELING PROCESS; PREDICTIVE ABILITIES; SEMI-SUPERVISED;

INFORMATION USE; STATISTICS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84883389053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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