Collaborative dual-PLSA: Mining distinction and commonality across multiple domains for text classification

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2010, Pages 359-368

  Zhuang, Fuzhen ^a,b   Luo, Ping ^c   Shen, Zhiyong ^c   He, Qing ^a   Xiong, Yuhong ^d   Shi, Zhongzhi ^a   Xiong, Hui ^e  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c HEWLETT PACKARD LABORATORIES   (United States)

^d Innovation Works ^*  (China)

^e Rutgers University   (United States)

Author keywords

Classification; Cross domain learning; Statistical generative models

Indexed keywords

CLASSIFICATION; CLASSIFICATION TASKS; CROSS-DOMAIN; DATA DISTRIBUTION; DATA DOMAINS; DIFFERENT DOMAINS; EXPECTATION-MAXIMIZATION ALGORITHMS; GENERATIVE MODEL; KNOWLEDGE TRANSFORMATION; LATENT FACTOR; LATENT VARIABLE; MULTIPLE DATA; MULTIPLE DOMAINS; MULTIPLE SOURCE; MULTIPLE TARGETS; PLSA MODEL; PROBABILISTIC LATENT SEMANTIC ANALYSIS; STATE-OF-THE-ART METHODS; STATISTICAL MODELS; TEXT CLASSIFICATION; TRANSFER LEARNING;

ALGORITHMS; IMAGE RETRIEVAL; KNOWLEDGE MANAGEMENT; SEMANTICS;

TEXT PROCESSING;

EID: 78651280445     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1871437.1871486     Document Type: Conference Paper

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