A Framework of Feature Selection Methods for Text Categorization

ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf.

Volumn , Issue , 2009, Pages 692-700

  Li, Shoushan ^a   Xia, Rui ^b   Zong, Chengqing ^b   Huang, Chu Ren ^a  

^a HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^b INSTITUTE OF AUTOMATION   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

DATA SET; FEATURE SELECTION METHODS; FEATURES SELECTION; FREQUENCY MEASUREMENTS; FREQUENCY RATIOS; MEASUREMENT FREQUENCY; NOVEL METHODS; SENTIMENT CLASSIFICATION; TEXT CATEGORIZATION; TEXT CLASSIFIERS;

FEATURE SELECTION;

EID: 84988427139     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. J. Blitzer, M. Dredze, and F. Pereira. 2007. Biographies, Bollywood, Boom-boxes and Blenders: Domain adaptation for sentiment classification. In Proceedings of ACL-07, the 45th Meeting of the Association for Computational Linguistics.
2. J. Brank, M. Grobelnik, N. Milic-Frayling, and D. Mladenic. 2002. Interaction of feature selection methods and linear classification models. In Workshop on Text Learning held at ICML.
3. H. Cui, V. Mittal, and M. Datar. 2006. Comparative experiments on sentiment classification for online product reviews. In Proceedings of AAAI-06, the 21st National Conference on Artificial Intelligence.
4. G. Forman. 2003. An extensive empirical study of feature selection metrics for text classification. The Journal of Machine Learning Research, 3(1): 1289-1305.
5. E. Gabrilovich and S. Markovitch. 2004. Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5. In Proceedings of the ICML, the 21st International Conference on Machine Learning.
6. G. John, K. Ron, and K. Pfleger. 1994. Irrelevant features and the subset selection problem. In Proceedings of ICML-94, the 11st International Conference on Machine Learning.
7. S. Li and C. Zong. 2005. A new approach to feature selection for text categorization. In Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE).
8. D. Mladeni and G. Marko. 1999. Feature selection for unbalanced class distribution and naive bayes. In Proceedings of ICML-99, the 16th International Conference on Machine Learning.
9. A. Moschitti. 2003. A study on optimal parameter tuning for Rocchio text classifier. In Proceedings of ECIR, Lecture Notes in Computer Science, vol. 2633, pp. 420-435.
10. E. Moyotl-Hernandez and H. Jimenez-Salazar. 2005. Enhancement of DTP feature selection method for text categorization. In Proceedings of CICLing, Lecture Notes in Computer Science, vol.3406, pp.719-722.
11. V. Ng, S. Dasgupta, and S. M. Niaz Arifin. 2006. Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In Proceedings of the COLING/ACL Main Conference Poster Sessions.
12. K. Nigam, A. McCallum, S. Thrun, and T. Mitchell. 2000. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3): 103-134.
13. B. Pang, L. Lee, and S. Vaithyanathan. 2002. Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP-02, the Conference on Empirical Methods in Natural Language Processing.
14. B. Pang and L. Lee. 2004. A sentimental education: Sentiment analysis using subjectivity summarization based on minimum cuts. In Proceedings of ACL-04, the 42nd Meeting of the Association for Computational Linguistics.
15. E. Riloff, S. Patwardhan, and J. Wiebe. 2006. Feature subsumption for opinion analysis. In Proceedings of EMNLP-06, the Conference on Empirical Methods in Natural Language Processing.
16. F. Sebastiani. 2002. Machine learning in automated text categorization. ACM Computing Surveys, 34(1): 1-47.
17. W. Shang, H. Huang, H. Zhu, Y. Lin, Y. Qu, and Z. Wang. 2007. A novel feature selection algorithm for text categorization. The Journal of Expert System with Applications, 33:1-5.
18. Y. Yang and J. Pedersen. 1997. A comparative study on feature selection in text categorization. In Proceedings of ICML-97, the 14th International Conference on Machine Learning.
19. Y. Yang and X. Liu. 1999. A re-examination of text categorization methods. In Proceedings of SIGIR-99, the 22nd annual international ACM Conference on Research and Development in Information Retrieval.