메뉴 건너뛰기




Volumn 2006, Issue , 2006, Pages 128-137

NEWPAR: An automatic feature selection and weighting schema for category ranking

Author keywords

Category ranking; Machine learning; SVM; Text categorization; Text classification

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; DATA REDUCTION; SUPPORT VECTOR MACHINES; TEXT PROCESSING; WORD PROCESSING;

EID: 34247365072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1166160.1166196     Document Type: Conference Paper
Times cited : (9)

References (30)
  • 1
    • 0009878181 scopus 로고    scopus 로고
    • Text categorisation: A survey
    • Technical report, Norwegian Computer Center, June
    • K. Aas and L. Eikvil. Text categorisation: A survey. Technical report, Norwegian Computer Center, June 1999.
    • (1999)
    • Aas, K.1    Eikvil, L.2
  • 8
    • 0142228873 scopus 로고    scopus 로고
    • A family of additive online algorithms for category ranking
    • K. Crammer and Y. Singer. A family of additive online algorithms for category ranking. Journal of Machine Learning Research, 3:1025-1058, 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1025-1058
    • Crammer, K.1    Singer, Y.2
  • 9
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical study of feature selection metrics for text classification
    • G. Forman. An extensive empirical study of feature selection metrics for text classification. Journal of Machine Learning Research, 3:1289-1305, 2003.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1289-1305
    • Forman, G.1
  • 10
    • 0016572913 scopus 로고
    • A vector space model for automatic indexing
    • A. W. G. Salton and C. Yang. A vector space model for automatic indexing. Communications of the ACM, 11(18):613-620, 1975.
    • (1975) Communications of the ACM , vol.11 , Issue.18 , pp. 613-620
    • Salton, A.W.G.1    Yang, C.2
  • 11
    • 45549117987 scopus 로고
    • Term-weighting approaches in automatic text retrieval
    • A. W. G. Salton and C. Yang. Term-weighting approaches in automatic text retrieval. Information Processing and Management, 5(24):513-523, 1988.
    • (1988) Information Processing and Management , vol.5 , Issue.24 , pp. 513-523
    • Salton, A.W.G.1    Yang, C.2
  • 13
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant, features
    • Chemnitz, DE
    • T. Joachims. Text categorization with support vector machines: learning with many relevant, features. In Proceedings of ECML-98, 10th European Conference on Machine Learning, pages 137-142, Chemnitz, DE, 1998.
    • (1998) Proceedings of ECML-98, 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 16
    • 84976725310 scopus 로고
    • A sequential algorithm for training text classifiers: Corrigendum and additional, data
    • D. D. Lewis. A sequential algorithm for training text classifiers: corrigendum and additional, data. SIGIR Forum, 29(2):13-19, 1995.
    • (1995) SIGIR Forum , vol.29 , Issue.2 , pp. 13-19
    • Lewis, D.D.1
  • 17
    • 85013879626 scopus 로고    scopus 로고
    • D. D. Lewis and W. A. Gale. A sequential algorithm for training text classifiers. In Proceedings of SIGIR-94, 17th ACM International Conference on Research and Development in Information Retrieval, pages 3-12, Dublin, IE, 1994. See also [16].
    • D. D. Lewis and W. A. Gale. A sequential algorithm for training text classifiers. In Proceedings of SIGIR-94, 17th ACM International Conference on Research and Development in Information Retrieval, pages 3-12, Dublin, IE, 1994. See also [16].
  • 18
    • 34247403517 scopus 로고    scopus 로고
    • L. Màrquez and J. Giménez. A general pos tagger generator based on support vector machines. Journal of Machine Learning Research, 2004. Software available at www.lsi.upc.edu/nlp/SVMTool.
    • L. Màrquez and J. Giménez. A general pos tagger generator based on support vector machines. Journal of Machine Learning Research, 2004. Software available at www.lsi.upc.edu/nlp/SVMTool.
  • 22
    • 0242659655 scopus 로고    scopus 로고
    • Hierarchical text classification using neural networks
    • M. Ruiz arid P. Srinivasan. Hierarchical text classification using neural networks. Information Retrieval, 5(1):87-118, 2002.
    • (2002) Information Retrieval , vol.5 , Issue.1 , pp. 87-118
    • Ruiz arid, M.1    Srinivasan, P.2
  • 24
    • 0002442796 scopus 로고    scopus 로고
    • 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
  • 27
    • 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
  • 29
    • 16644402628 scopus 로고    scopus 로고
    • Feature selection for text categorization on imbalanced data
    • Z. Zheng, X. Wu, and R. Srihari. Feature selection for text categorization on imbalanced data. SIGKDD Explorations, 6(1):80-89, 2004.
    • (2004) SIGKDD Explorations , vol.6 , Issue.1 , pp. 80-89
    • Zheng, Z.1    Wu, X.2    Srihari, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.