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Volumn 217, Issue , 2006, Pages 169-178

Comparison of SVM and some older classification algorithms in text classification tasks

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CLASSIFICATION; CLASSIFICATION ALGORITHM; DOCUMENT CLASSIFICATION; FEATURE SPACE; NAIVE BAYES; SELECTION TECHNIQUES; TEXT CLASSIFICATION;

EID: 33845519499     PISSN: 15715736     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-34747-9_18     Document Type: Article
Times cited : (147)

References (14)
  • 6
    • 0004141898 scopus 로고    scopus 로고
    • Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering
    • A. K. McCallum. Bow: A toolkit for statistical language modeling, text retrieval, classification and clustering, http://www.cs.cmu.edu/ ~mccallum/bow, 1996.
    • (1996)
    • McCallum, A.K.1
  • 8
    • 0004322632 scopus 로고    scopus 로고
    • Sequential minimal optimization: A fast algorithm for training support vector machines
    • Microsoft Research
    • J. Platt. Sequential minimal optimization: A fast algorithm for training support vector machines. Technical Report 98-14, Microsoft Research, 1998.
    • (1998) Technical Report 98-14
    • Platt, J.1
  • 10
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Y. Yang. An evaluation of statistical approaches to text categorization. Information Retrieval, pages 69-90, 1999.
    • (1999) Information Retrieval , pp. 69-90
    • Yang, Y.1
  • 14
    • 0001868572 scopus 로고    scopus 로고
    • Text categorization based on regularized linear classification methods
    • T. Zhang and F. J. Oles. Text categorization based on regularized linear classification methods. Information Retrieval, pages 5-31, 2001.
    • (2001) Information Retrieval , pp. 5-31
    • Zhang, T.1    Oles, F.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.