A latent semantic classification model

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2005, Pages 261-262

  Wang, Ming Wen ^a   Nie, Jian Yun ^b   Zeng, Xue Qiang ^c  

^a JIANGXI NORMAL UNIVERSITY   (China)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

^c JIANGXI MEDICAL COLLEGE   (China)

Author keywords

Latent semantic classification; Latent semantic indexing; Partial least square; Text classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; MATHEMATICAL MODELS; PROBLEM SOLVING; TEXT PROCESSING;

LATENT SEMANTIC CLASSIFICATION; LATENT SEMANTIC INDEXING; PARTIAL LEAST SQUARE; TEXT CLASSIFICATION;

SEMANTICS;

EID: 33745780753     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1099554.1099617     Document Type: Conference Paper

References (4)

1. Deerwester, S., Dumais, S.T., Fumas, G.W., Landauer, T.K. and Harshman, R. Indexing by Latent Semantic Analysis. Journal of the American Society of Information Science, 41(6): 391-407, 1990.
2. Sebastiani, F. Machine learning in automated text categorization. ACM Computing Survey, 34(1): 1-47, 2002.
3. th ACM-SIGIR, 2003
4. Wold, H. Partial least squares, in Kotz, S. and Johnson N.L.,(eds.) Encyclopedia of Statistical Science. Wiley, New York, 1985.