Transferring topical knowledge from auxiliary long texts for short text clustering

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 775-784

  Jin, Ou ^a   Liu, Nathan N ^b   Zhao, Kai ^c   Yu, Yong ^a   Yang, Qiang ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

^c NEC Laboratories China   (China)

Author keywords

short text; statistical generative models; unsupervised learning

Indexed keywords

AUXILIARY DATA; DATA SETS; GENERATIVE MODEL; LATENT DIRICHLET ALLOCATION; ONLINE ADVERTISEMENTS; RAPID GROWTH; SHORT MESSAGE; SHORT TEXT; TEXT CLUSTERING; TEXT DATA; TEXT DOCUMENT; TEXT MESSAGES; TEXT MINING TECHNIQUES; TEXT REPRESENTATION; TOPIC MODEL; TRANSFER LEARNING; WEB APPLICATION;

KNOWLEDGE MANAGEMENT; SALINITY MEASUREMENT; SEMANTICS; SOCIAL NETWORKING (ONLINE); STATISTICS; UNSUPERVISED LEARNING;

TELEPHONE SYSTEMS;

EID: 83055191296     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063689     Document Type: Conference Paper

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