A symmetric term weighting scheme for text categorization based on term occurrence probabilities

ICSCCW 2009 - 5th International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control

Volumn , Issue , 2009, Pages

  Erenel, Zafer ^a   Altinçay, Hakan ^a   Varoǧlu, Ekrem ^a  

^a EASTERN MEDITERRANEAN UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; FEATURE WEIGHTING; REUTERS-21578; SVM CLASSIFIERS; TERM OCCURRENCES; TERM WEIGHTING SCHEME; TEXT CATEGORIZATION; WEIGHTING SCHEME;

PROBABILITY; SYSTEMS ANALYSIS; TEXT PROCESSING;

SOFT COMPUTING;

EID: 77950498503     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSCCW.2009.5379438     Document Type: Conference Paper

References (11)

1. Yang, Y. and Pedersen, J.O., "A Comparative Study on Feature Selection in Text Categorization," in Proc. 14th International Conference on Machine Learning, 1997, pp. 412-420.
2. Liu, Y., Loh, H.T., Sun, A. "Imbalanced Text Classification: A term weighting approach", Expert Systems with Applications, vol. 36: 690-701, 2009.
3. Mladenic, D., & Grobelnik, M., Feature selection on hierarchy of web documents, Decision Support Systems, 35(1):45-87, 2003.
4. Lan, M., Tan C.L., Su J., & Lu, Y., "Supervised and Traditional Term Weighting Methods for Automatic Text Categorization", IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(4):721-735, 2009.
5. Joachims, T., "Text Categorization with Support Vector Machines : Learning with Many Relevant Features," in Proc. 10th European Conference of Machine Learning, 1998, pp. 137-142.
6. Salton, G. and Buckley C., "Term-Weighting Approaches in Automatic Text Retrieval", Information Processing and Management, 24(5):513-523, 1988.
7. Forman, G. "An extensive empirical study of feature selection metrics for text classification", JMLR, Speical Issue on Variable and Feature Selection, 1289-1305, 2003.
8. Debole, F. and Sebastiani, F., "An analysis of the relative hardness of Reuters-21578 subsets", Journal of the American Society for Information Science and Technology, 56(6):584-596, 2004.
9. Buckley, C., "Implementation of the SMART information retrieval system", Technical report, Cornell University, Ithaca, USA, 1985.
10. Porter, M.F., "An algorithm for suffix stripping", Program, 14(3):130-137, 1980.
11. Joachims, T., "Making large-scale SVM Learning Practical", in B. Schölkoph and C. J. C. Burges, & A. J. Smola (Eds.), Advances in Kernel Methods - Support Vector Learning, Cambridge, MA: MIT Press, 1999, pp. 169-184.