Maximum entropy framework used in text classification

Proceedings - 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010

Volumn 2, Issue , 2010, Pages 828-833

  Wang, Hui ^a   Wang, Lin ^a   Yi, Lixia ^a  

^a TIANJIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL INDEPENDENCE ASSUMPTION; DATA SETS; LABELED DATA; MAXIMUM ENTROPY; ME METHODS; NAIVE BAYES; NAIVE BAYES CLASSIFIERS; NEWSGROUPS; REUTERS-21578; SVM ALGORITHM; TEXT CLASSIFICATION; TEXT DOCUMENT; VECTOR DATA;

CLASSIFICATION (OF INFORMATION); ENTROPY; INTELLIGENT COMPUTING; INTELLIGENT SYSTEMS; TEXT PROCESSING;

LEARNING ALGORITHMS;

EID: 78651283211     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICISYS.2010.5658639     Document Type: Conference Paper

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