메뉴 건너뛰기




Volumn , Issue , 2004, Pages 599-602

An empirical study of feature selection for text categorization based on term weightage

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; EDUCATION; INDEXING (OF INFORMATION); PERSONNEL TRAINING; STATISTICS; VECTORS;

EID: 15544379867     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (63)

References (12)
  • 1
    • 0003862399 scopus 로고
    • Term weighting approaches in automatic text retrieval
    • Department of Computer Science, Cornell University
    • Salton, G., and Buckley, C. (1987). Term weighting approaches in automatic text retrieval. Tech Report 87-881, Department of Computer Science, Cornell University.
    • (1987) Tech Report , vol.87 , Issue.881
    • Salton, G.1    Buckley, C.2
  • 3
    • 21844472475 scopus 로고    scopus 로고
    • Youngjoong Ko Department of Computer Science, Sogang University 1 Sinsu-dong, Mapo-gu Seoul, Korea
    • Ko, Y., and Seo, J. (2000). Automatic Text Categorization by Unsupervised Learning. Youngjoong Ko Department of Computer Science, Sogang University 1 Sinsu-dong, Mapo-gu Seoul, 121-742, Korea.
    • (2000) Automatic Text Categorization by Unsupervised Learning , pp. 121-742
    • Ko, Y.1    Seo, J.2
  • 4
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature set selection in text categorization
    • Nashville, TN. Morgan Kaufmann
    • Yang, Y., and Pedersen, J. (1997). A comparative study on feature set selection in text categorization. In Proc. of the 14th International Conference on Machine Learning, pages 412-420, Nashville, TN. Morgan Kaufmann.
    • (1997) Proc. of the 14th International Conference on Machine Learning , pp. 412-420
    • Yang, Y.1    Pedersen, J.2
  • 6
    • 15544382511 scopus 로고    scopus 로고
    • Automatic text categorization on hierarchical category structure by using ICF (Inverted category frequency) weighting
    • Cho K. and Kim j. (1997). Automatic Text Categorization on Hierarchical Category Structure by using ICF (Inverted Category Frequency) Weighting. In Proceedings of KISS conference, pp.507-510
    • (1997) Proceedings of KISS Conference , pp. 507-510
    • Cho, K.1    Kim, J.2
  • 7
    • 2942731012 scopus 로고    scopus 로고
    • An extensive empirical of feature selection metrics for text categorization
    • 2003
    • Forman, G. (2003) An Extensive Empirical of Feature Selection Metrics for Text Categorization. Journal of Machine Learning Research 3 (2003) 1289-1305.
    • (2003) Journal of Machine Learning Research , vol.3 , pp. 1289-1305
    • Forman, G.1
  • 8
    • 84862802358 scopus 로고    scopus 로고
    • Optimally combining positive and negative features for text categorization
    • Zheng, Z., Srihari, R,. (2003). Optimally Combining Positive and Negative Features for Text Categorization. ICML 2003 Workshop.
    • (2003) ICML 2003 Workshop
    • Zheng, Z.1    Srihari, R.2
  • 9
    • 0002621269 scopus 로고    scopus 로고
    • A tutorial on automated text categorization
    • Analia Amandi and Ricardo Zunino, editors, 1st Argentinian Symposium on Artificial Intelligence, Buenos Aires, AR
    • Sebastiani, F. (1999). A Tutorial on Automated Text Categorization. In Analia Amandi and Ricardo Zunino, editors, Proceedings of ASAI-99, 1st Argentinian Symposium on Artificial Intelligence, pages 7-35, Buenos Aires, AR.
    • (1999) Proceedings of ASAI-99 , pp. 7-35
    • Sebastiani, F.1
  • 12
    • 84937392228 scopus 로고    scopus 로고
    • Feature selection and negative evidence in automated text categorization
    • Galavotti, L., Sebastiani, F., and Simi, M. (1999). Feature Selection and Negative Evidence in Automated Text Categorization. ECDL 2000: 59-68
    • (1999) ECDL 2000 , pp. 59-68
    • Galavotti, L.1    Sebastiani, F.2    Simi, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.