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Volumn 1923, Issue , 2000, Pages 59-68

Experiments on the use of feature selection and negative evidence in automated text categorization

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIGITAL LIBRARIES; NEAREST NEIGHBOR SEARCH; TEXT PROCESSING;

EID: 84937392228     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45268-0_6     Document Type: Conference Paper
Times cited : (149)

References (10)
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    • Text categorization with support vector machines: Learning with many relevant features
    • C. Nedellec 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. Nedellec and C. Rouveirol, editors, Proceedings of ECML-98, 10th European Conference on Machine Learning, number 1398 in Lecture Notes in Computer Science, pages 137-142, Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE.
    • (1998) Proceedings of ECML-98, 10Th European Conference on Machine Learning, Number 1398 in Lecture Notes in Computer Science , pp. 137-142
    • Joachims, T.1
  • 3
    • 0004109771 scopus 로고
    • PhD thesis, Department of Computer Science, University of Massachusetts, Amherst, US
    • D. D. Lewis. Representation and learning in information retrieval. PhD thesis, Department of Computer Science, University of Massachusetts, Amherst, US, 1992.
    • (1992) Representation and Learning in Information Retrieval
    • Lewis, D.D.1
  • 4
    • 0030651099 scopus 로고    scopus 로고
    • Feature selection, perceptron learning, and a usability case study for text categorization
    • N. J. Belkin, A. D. Narasimhalu, and P. Willett, editors, Philadelphia, US, ACM Press, New York, US
    • H. T. Ng, W. B. Goh, and K. L. Low. Feature selection, perceptron learning, and a usability case study for text categorization. In N. J. Belkin, A. D. Narasimhalu, and P. Willett, editors, Proceedings of SIGIR-97, 20th ACM International Conference on Research and Development in Information Retrieval, pages 67-73, Philadelphia, US, 1997. ACM Press, New York, US.
    • (1997) Proceedings of SIGIR-97, 20Th ACM International Conference on Research and Development in Information Retrieval , pp. 67-73
    • Ng, H.T.1    Goh, W.B.2    Low, K.L.3
  • 6
    • 0003755589 scopus 로고    scopus 로고
    • Machine learning in automated text categorisation: A survey
    • Istituto di Elaborazione dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, IT
    • F. Sebastiani. Machine learning in automated text categorisation: a survey. Technical Report IEI-B4-31-1999, Istituto di Elaborazione dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, IT, 1999.
    • (1999) Technical Report IEI-B4-31-1999
    • Sebastiani, F.1
  • 7
    • 84984720462 scopus 로고
    • Expert network: Effective and efficient learning from human decisions in text categorisation and retrieval
    • W. B. Croft and C. J. van Rijsbergen, editors, Dublin, IE, Springer Verlag, Heidelberg, DE
    • Y. Yang. Expert network: effective and efficient learning from human decisions in text categorisation and retrieval. In W. B. Croft and C. J. van Rijsbergen, editors, Proceedings of SIGIR-94, 17th ACM International Conference on Research and Development in Information Retrieval, pages 13-22, Dublin, IE, 1994. Springer Verlag, Heidelberg, DE.
    • (1994) Proceedings of SIGIR-94, 17Th ACM International Conference on Research and Development in Information Retrieval , pp. 13-22
    • Yang, Y.1
  • 8
    • 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, 1(1-2):69-90, 1999.
    • (1999) Information Retrieval , vol.1 , Issue.1-2 , pp. 69-90
    • Yang, Y.1
  • 10
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature selection in text categorization
    • InD. H. Fisher, editor, Nashville, US, Morgan Kaufmann Publishers, San Francisco, US
    • Y. Yang and J. O. Pedersen. A comparative study on feature selection in text categorization. InD. H. Fisher, editor, Proceedings of ICML-97, 14th International Conference on Machine Learning, pages 412-420, Nashville, US, 1997. Morgan Kaufmann Publishers, San Francisco, US
    • (1997) Proceedings of ICML-97, 14Th International Conference on Machine Learning , pp. 412-420
    • Yang, Y.1    Pedersen, J.O.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.