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Volumn , Issue , 2003, Pages 41-48

Text classification in Asian languages without word segmentation

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; INFORMATION THEORY; MODELING LANGUAGES; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

EID: 38049053711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (37)

References (13)
  • 1
    • 0002367679 scopus 로고    scopus 로고
    • Linguistic Techniques to Improve the Performance of Automatic Text Categorization
    • A. Aizawa. 2001. Linguistic Techniques to Improve the Performance of Automatic Text Categorization. Proceedings NLPRS2001.
    • (2001) Proceedings NLPRS2001
    • Aizawa, A.1
  • 4
    • 0028911698 scopus 로고
    • Gauging Similarity with N-Grams: Language-Independent Categorization of Text?
    • M. Damashek. 1995. Gauging Similarity with N-Grams: Language-Independent Categorization of Text? Science, 267(10), pages 843-848.
    • (1995) Science , vol.267 , Issue.10 , pp. 843-848
    • Damashek, M.1
  • 7
    • 0000636553 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines: Learning with Many Relevant Features
    • T. Joachims. 1998. Text Categorization with Support Vector Machines: Learning with Many Relevant Features. Proceedings of the ECML-1998
    • (1998) Proceedings of the ECML-1998
    • Joachims, T.1
  • 8
    • 78649895716 scopus 로고    scopus 로고
    • Investigating the Relationship of Word Segmentation Performance and Retrieval Performance in Chinese IR
    • F. Peng, X. Huang, D. Schuurmans, and N. Cercone. 2002. Investigating the Relationship of Word Segmentation Performance and Retrieval Performance in Chinese IR. Proceedings of COLING2002
    • (2002) Proceedings of COLING2002
    • Peng, F.1    Huang, X.2    Schuurmans, D.3    Cercone, N.4
  • 9
    • 79955757411 scopus 로고    scopus 로고
    • Combining Naive Bayes and N-Gram Language Models for Text Classification
    • F. Peng and D. Schuurmans. 2003. Combining Naive Bayes and N-Gram Language Models for Text Classification. Proceedings of ECIR2003
    • (2003) Proceedings of ECIR2003
    • Peng, F.1    Schuurmans, D.2
  • 10
    • 0002442796 scopus 로고    scopus 로고
    • Machine Learning in Automated Text Categorization
    • F. Sebastiani. 2002. Machine Learning in Automated Text Categorization. ACM Computing Surveys, 34(1).
    • (2002) ACM Computing Surveys , vol.34 , Issue.1
    • Sebastiani, F.1
  • 11
    • 1242280857 scopus 로고    scopus 로고
    • Using Compression-Based Language Models for Text Categorization
    • W. Teahan and D. Harper. 2001. Using Compression-Based Language Models for Text Categorization. Proceedings of LMIR2001
    • (2001) Proceedings of LMIR2001
    • Teahan, W.1    Harper, D.2
  • 13
    • 27144441097 scopus 로고    scopus 로고
    • An Evaluation of Statistical Approaches to Text Categorization
    • Y. Yang. 1999. An Evaluation of Statistical Approaches to Text Categorization. Information Retrieval Journal, 1/2.
    • (1999) Information Retrieval Journal , vol.1 , Issue.2
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.