A partially supervised cross-collection topic model for cross-domain text classification

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2013, Pages 239-248

  Bao, Yang ^a   Collier, Nigel ^b   Datta, Anindya ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b NATIONAL INSTITUTE OF INFORMATICS   (Japan)

Author keywords

Cross domain learning; LDA; Text classification; Topic modeling

Indexed keywords

CONDITIONAL DISTRIBUTION; CROSS-DOMAIN LEARNING; FEATURE REPRESENTATION; LDA; MARGINAL DISTRIBUTION; STATE-OF-THE-ART METHODS; TEXT CLASSIFICATION; TOPIC MODELING;

KNOWLEDGE MANAGEMENT; TEXT PROCESSING;

CLASSIFICATION (OF INFORMATION);

EID: 84889569618     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505556     Document Type: Conference Paper

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