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Volumn 3230, Issue , 2004, Pages 220-230

Multi-label text classification using multinomial models

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); NATURAL LANGUAGE PROCESSING SYSTEMS; PATTERN RECOGNITION;

EID: 22944486020     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30228-5_20     Document Type: Conference Paper
Times cited : (12)

References (12)
  • 1
    • 22944431769 scopus 로고    scopus 로고
    • Multi-label text classification with a mixture model trained by EM
    • McCallum, A.K.: Multi-Label Text Classification with a Mixture Model Trained by EM. In: NIPS99. (1999)
    • (1999) NIPS99
    • McCallum, A.K.1
  • 2
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34 (2002) 1-47
    • (2002) ACM Comput. Surv. , vol.34 , pp. 1-47
    • Sebastiani, F.1
  • 4
    • 0033905095 scopus 로고    scopus 로고
    • Boostexter: A boosting-based system for text categorization
    • Schapire, R.E., Singer, Y.: Boostexter: A boosting-based system for text categorization. Machine Learning 39 (2000) 135-168
    • (2000) Machine Learning , vol.39 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 5
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y.: An evaluation of statistical approaches to text categorization. Information Retrieval 1 (1999) 69-90
    • (1999) Information Retrieval , vol.1 , pp. 69-90
    • Yang, Y.1
  • 6
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with SupportVector machines: Learning with many relevant features
    • Nédellec, C., Rouveirol, C., eds Chemnitz, DE, Springer-Verlag, Heidelberg, DE
    • Joachims, T.: Text categorization with SupportVector Machines: Learning with many relevant features. In Nédellec, C., Rouveirol, C., eds.: Proceedings of ECML-98, 10th European Conference on Machine Learning. Number 1398, Chemnitz, DE, Springer-Verlag, Heidelberg, DE (1998) 137-142
    • (1998) Proceedings of ECML-98, 10th European Conference on Machine Learning , Issue.1398 , pp. 137-142
    • Joachims, T.1
  • 7
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unla-beled documents using EM
    • Nigam, K., McCalum, A., Thrun, S., Mitchell, T.: Text classification from labeled and unla-beled documents using EM. Machine Learning 39 (2000) 103-134
    • (2000) Machine Learning , vol.39 , pp. 103-134
    • Nigam, K.1    McCalum, A.2    Thrun, S.3    Mitchell, T.4
  • 12
    • 0012078715 scopus 로고    scopus 로고
    • Satistical language modeling using leaving-one-out
    • Kluwer Academic Publishers, Dordrecht, the Netherlands
    • Ney, H., Martin, S., Wessel, F.: Satistical Language Modeling Using Leaving-One-Out. In: Corpus-based Methods in Language and Speech Proceesing. Kluwer Academic Publishers, Dordrecht, the Netherlands (1997) 174-207
    • (1997) Corpus-based Methods in Language and Speech Proceesing , pp. 174-207
    • Ney, H.1    Martin, S.2    Wessel, F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.