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Volumn , Issue , 2014, Pages 102-105

Satire detection from web documents using machine learning methods

Author keywords

bi normal separation; classification; feature extraction; Satire detection; SVM

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); EXTRACTION; INFORMATION RETRIEVAL SYSTEMS; LEARNING SYSTEMS; ONLINE SYSTEMS; SOCIAL NETWORKING (ONLINE); SOFT COMPUTING; SPEECH PROCESSING; SUPPORT VECTOR MACHINES; WORLD WIDE WEB;

EID: 84946531380     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCMI.2014.34     Document Type: Conference Paper
Times cited : (16)

References (8)
  • 4
    • 85024373635 scopus 로고    scopus 로고
    • A re-examination of text categorization methods
    • Y. Yang and X. Liu, "A re-examination of text categorization methods", in 22nd Annual International SIGIR, 1999, pages 42
    • (1999) 22nd Annual International SIGIR , pp. 42
    • Yang, Y.1    Liu, X.2
  • 5
    • 65749103423 scopus 로고    scopus 로고
    • Bns feature scaling: An improved representation over tf·idf for svm text classification
    • October 26-30
    • George Forman, "BNS Feature Scaling: An Improved Representation over TF·IDF for SVM Text Classification", in ACM 17th Conference on Information and Knowledge Management, October 26-30, 2008
    • (2008) ACM 17th Conference on Information and Knowledge Management
    • Forman, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.