Solving multi-label text categorization problem using support vector machine approach with membership function

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3682-3689

  Wang, Tai Yue ^a   Chiang, Huei Min ^b  

^a NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^b NAN JEON INSTITUTE OF TECHNOLOGY   (Taiwan)

Author keywords

Membership function; Multi label; One against one support vector machine

Indexed keywords

AUTOMATIC TEXT CATEGORIZATION; CLASSIFIED DOCUMENTS; COMPARATIVE STUDIES; DATA MAPPINGS; DATA SETS; DOMAIN EXPERTS; EMPIRICAL EXPERIMENTS; HIGH DIMENSIONAL SPACES; MULTI-LABEL; NAIVE BAYES; OUTPUT VALUES; PAIR-WISE COMPARISON; PERFORMANCE INDICES; TEXT CATEGORIZATION; TEXT CATEGORIZATION SYSTEMS;

MEMBERSHIP FUNCTIONS; SUPPORT VECTOR MACHINES; TEXT PROCESSING;

EXPERIMENTS;

ARTICLE; CLASSIFICATION; CONTROLLED STUDY; DATA PROCESSING; DOCUMENTATION; INTERMETHOD COMPARISON; MATHEMATICAL COMPUTING; MULTILABEL TEXT CATEGORIZATION; PRIORITY JOURNAL; PROBABILITY; PROBLEM SOLVING; SUPPORT VECTOR MACHINE;

EID: 84863773829     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.07.001     Document Type: Article

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