A feature selection method based on Fisher's discriminant ratio for text sentiment classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5854 LNCS, Issue , 2009, Pages 88-97

  Wang, Suge ^a   Li, Deyu ^a   Wei, Yingjie ^b   Li, Hongxia ^a  

^a SHANXI UNIVERSITY   (China)

^b Science China Press   (China)

Author keywords

[No Author keywords available]

Indexed keywords

E-COMMERCE; F VALUES; FEATURE SELECTION METHODS; FEATURE SETS; FISHER'S DISCRIMINANT; INFORMATION GAIN; INFORMATION SOURCES; MUTUAL INFORMATIONS; PRODUCT REVIEWS; RAPID GROWTH; RESEARCH PROBLEMS; SENTIMENT CLASSIFICATION; WORD FREQUENCIES;

CUSTOMER SATISFACTION; ELECTRONIC COMMERCE; FEATURE EXTRACTION; INFORMATION SYSTEMS; MOBILE TELECOMMUNICATION SYSTEMS; TEXT PROCESSING; WORLD WIDE WEB;

FREQUENCY ESTIMATION;

EID: 71549166990     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-05250-7_10     Document Type: Conference Paper

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