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Volumn 3932 LNAI, Issue , 2006, Pages 149-166

Boosting for text classification with semantic features

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; SEMANTICS; TEXT PROCESSING; WORLD WIDE WEB;

EID: 33845221513     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11899402_10     Document Type: Conference Paper
Times cited : (51)

References (20)
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  • 5
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  • 8
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    • Introduction to the special issue on word sense disambiguation: The state of the art
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    • (1998) Computational Linguistics , vol.24 , Issue.1 , pp. 1-40
    • Ide, N.1    Véronis, J.2
  • 9
    • 0000636553 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • T. Joachims. Text Categorization with Support Vector Machines: Learning With Many Relevant Features. In Proceedings of ECML-98, 1998.
    • (1998) Proceedings of ECML-98
    • Joachims, T.1
  • 10
    • 0142086575 scopus 로고    scopus 로고
    • A comparison of word- and sense-based text categorization using several classification algorithms
    • A. Kehagias, V. Petridis, V. G. 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, 2000.
    • (2000) Journal of Intelligent Information Systems , vol.21 , Issue.3 , pp. 227-247
    • Kehagias, A.1    Petridis, V.2    Kaburlasos, V.G.3    Fragkou, P.4
  • 12
    • 35248862907 scopus 로고    scopus 로고
    • An introduction to boosting and leveraging
    • LNCS. Springer, Heidelberg, DE
    • R. Meir and G. Rätsch. An Introduction to Boosting and Leveraging. In Advanced Lectures on Machine Learning, LNCS. Springer, Heidelberg, DE, 2003.
    • (2003) Advanced Lectures on Machine Learning
    • Meir, R.1    Rätsch, G.2
  • 14
    • 84948481845 scopus 로고
    • An algorithm for suffix stripping
    • M. F. Porter. An algorithm for suffix stripping. Program, 14(3): 130-137, 1980.
    • (1980) Program , vol.14 , Issue.3 , pp. 130-137
    • Porter, M.F.1
  • 15
    • 0003882234 scopus 로고
    • Addison-Wesley Publishing Inc, Boston, MA, USA
    • G. Salton. Automatic Text Processing. Addison-Wesley Publishing Inc, Boston, MA, USA, 1989.
    • (1989) Automatic Text Processing
    • Salton, G.1
  • 16
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • R. E. Schapire and Y. Singer. BoosTexter: A Boosting-based System for Text Categorization. Machine Learning, 39(2/3): 135-168, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 17
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    • Machine learning in automated text categorization
    • F. Sebastiani. Machine Learning in Automated Text Categorization. ACM Computing Surveys, 34(1): 1-47, 2002.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 19
    • 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.
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    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.