Combination of feature selection methods for text categorisation

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6611 LNCS, Issue , 2011, Pages 763-766

  Neumayer, Robert ^a   Mayer, Rudolf ^b   Nørvåg, Kjetil ^a  

^a NORWEGIAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Norway)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL;

COMBINATION METHOD; FEATURE SELECTION METHODS; TEST COLLECTION;

FEATURE EXTRACTION;

EID: 80054950940     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20161-5_89     Document Type: Conference Paper

References (4)

1. Forman, G.: An extensive empirical study of feature selection metrics for text classification. Journal of Machine Learning Research 3, 1289–1305 (2003)
2. Olsson, J.S., Oard, D.W.: Combining feature selectors for text classification. In: Proceedings of the 15th ACM International Conference on Information and Knowledge Management (CIKM 2006), Arlington, Virginia, USA, November 6-11, pp. 798–799. ACM, New York (2006)
3. Rogati, M., Yang, Y.: High-performing feature selection for text classification. In: Proceedings of the 11th ACM International Conference on Information and Knowledge Management (CIKM 2002), McLean, Virginia, USA, November 4-9, pp. 659–661. ACM, New York (2002)
4. Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 1–47 (2002)