A novel feature selection method based on probability latent semantic analysis for chinese text classification

Zhong, Jiang, Sun, Qigan, Li, Xue and Wen, Luosheng (2011) A novel feature selection method based on probability latent semantic analysis for chinese text classification. Chinese Journal of Electronics, 20 2: 228-232.

Author Zhong, Jiang
Sun, Qigan
Li, Xue
Wen, Luosheng
Title A novel feature selection method based on probability latent semantic analysis for chinese text classification
Journal name Chinese Journal of Electronics   Check publisher's open access policy
ISSN 1022-4653
Publication date 2011
Year available 2011
Sub-type Article (original research)
Open Access Status
Volume 20
Issue 2
Start page 228
End page 232
Total pages 5
Place of publication Beijing, China
Publisher Zhongguo Dianzi Xuehui
Collection year 2012
Language eng
Subject 2208 Electrical and Electronic Engineering
2604 Applied Mathematics
Keyword Feature selection
Probability latent semantic analysis
Svm (support vector machines)
Text classification
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
 
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