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Volumn 1, Issue , 2005, Pages 546-551

A comparative study on term weighting schemes for text categorization

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC PROGRAMMING; BINARY CODES; ELECTRONIC DOCUMENT EXCHANGE; FUNCTION EVALUATION; NEURAL NETWORKS; VECTORS;

EID: 33745968931     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1555890     Document Type: Conference Paper
Times cited : (71)

References (18)
  • 1
    • 0036161242 scopus 로고    scopus 로고
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    • E. Leopold and J. Kindermann. Text categorization with support vector machines, how to represent texts in input space?. Machine Learning, 46(1-3):423 - 444, January - February - March 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 423-444
    • Leopold, E.1    Kindermann, J.2
  • 7
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical tests for comparing supervised classification learning algorithms
    • T. G. Dietterich. Approximate statistical tests for comparing supervised classification learning algorithms. Neural Comput., 10(7): 1895-1923, 1998.
    • (1998) Neural Comput. , vol.10 , Issue.7 , pp. 1895-1923
    • Dietterich, T.G.1
  • 9
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • C. Nédellec and C. Rouveirol. editors. Chemnitz, DE. Springer Verlag, Heidelberg, DE
    • T. Joachims. Text categorization with support vector machines: learning with many relevant features. In C. Nédellec and C. Rouveirol. editors, Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398, pages 137-142. Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE.
    • (1998) Proceedings of ECML-98, 10th European Conference on Machine Learning , Issue.1398 , pp. 137-142
    • Joachims, T.1
  • 10
    • 0142086575 scopus 로고    scopus 로고
    • A comparison of word- and sense-based text categorization using several classification algorithms
    • November
    • A. Kehagias, V. Petridis, V. Kaburlasos, and P. Fragkou. A comparison of word- and sense-based text categorization using several classification algorithms. Journal of Intelligent Information Systems, 21(3):227-247, November 2003.
    • (2003) Journal of Intelligent Information Systems , vol.21 , Issue.3 , pp. 227-247
    • Kehagias, A.1    Petridis, V.2    Kaburlasos, V.3    Fragkou, P.4
  • 12
    • 84876811202 scopus 로고    scopus 로고
    • Revl: A new benchmark collection for text categorization research
    • D. D. Lewis, Y. Yang, T. G. Rose, and F. Li. Revl: A new benchmark collection for text categorization research. J. Mach. Learn. Res., 5:361-397, 2004.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 361-397
    • Lewis, D.D.1    Yang, Y.2    Rose, T.G.3    Li, F.4
  • 14
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • M. Porter. An algorithm for suffix stripping. Program, pages 130-137, 1980.
    • (1980) Program , pp. 130-137
    • Porter, M.1
  • 15
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Inf. Process. Manage.. 24(5):513-523. 1988.
    • (1988) Inf. Process. Manage.. , vol.24 , Issue.5 , pp. 513-523
    • Salton, G.1    Buckley, C.2
  • 16
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • F. Sebastiani. Machine learning in automated text categorization. ACM Comput. Surv:, 34(1): 1-47, 2002.
    • (2002) ACM Comput. Surv , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.