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Volumn , Issue , 2008, Pages

An evaluation of existing and new feature selection metrics in text categorization

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SCIENCE; TEXT PROCESSING;

EID: 58449090949     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCIS.2008.4717900     Document Type: Conference Paper
Times cited : (11)

References (13)
  • 3
    • 2942731012 scopus 로고    scopus 로고
    • An Extensive Empirical Study of Feature Selection Metrics for Text Classification
    • Forman, G.: An Extensive Empirical Study of Feature Selection Metrics for Text Classification. Journal of Machine Learning Research 3 (2003) 1289-1305
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1289-1305
    • Forman, G.1
  • 4
    • 0000636553 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • Joachims, T.: Text Categorization with Support Vector Machines: Learning with Many Relevant Features. In: European Conference on Machine Learning (ECML) (1998)
    • (1998) European Conference on Machine Learning (ECML)
    • Joachims, T.1
  • 6
    • 35448955617 scopus 로고    scopus 로고
    • Classification of Skewed and Homogeneous Document Corpora with Class-Based and Corpus-Based Keywords
    • Springer-Verlag, Berlin Heidelberg
    • Özgür, A., Güngör, T.: Classification of Skewed and Homogeneous Document Corpora with Class-Based and Corpus-Based Keywords, Lecture Notes in Artificial Intelligence, Vol. 4314, 2007, p. 91-101, Springer-Verlag, Berlin Heidelberg.
    • (2007) Lecture Notes in Artificial Intelligence , vol.4314 , pp. 91-101
    • Özgür, A.1    Güngör, T.2
  • 10
    • 58449093645 scopus 로고    scopus 로고
    • http://svmlight.joachims.org/
  • 11
    • 58449115665 scopus 로고    scopus 로고
    • ftp://ftp.cs.cornell.edu/pub/smart/, 2004.
    • (2004)
  • 12
    • 58449123004 scopus 로고    scopus 로고
    • http://www.tartarus.org/martin/PorterStemmer/, 2004.
    • (2004)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.