The method of text categorization on imbalanced datasets

Proceedings of the 2009 International Conference on Communication Software and Networks, ICCSN 2009

Volumn , Issue , 2009, Pages 650-653

  Li, Xin Fu ^a   Yu, Yan ^a   Yin, Peng ^a  

^a HEBEI UNIVERSITY   (China)

Author keywords

Imbalanced dataset; SVM; Text categorization; TF IDF

Indexed keywords

DATA SETS; IMBALANCED DATASET; OVER SAMPLING; RECOGNITION RATES; SVM; TEXT CATEGORIZATION; TF-IDF;

COMPUTER SOFTWARE; SUPPORT VECTOR MACHINES;

TEXT PROCESSING;

EID: 70349502115     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCSN.2009.70     Document Type: Conference Paper

References (10)

1. Chawla NV, Japkowicz N, Kotcz A. Editorial: Special issue on learning from unbalanced data sets. SIGKDD Explorations Newsletters, 2004, 6(1):1-6.
2. SU Jin-Shul, ZHANG Bo-Fengl, XU Xinl. Advances in Machine Learning Based Text Categorization. Journal of Software, 2006, 17(9):1848-1859
3. Y Yang, Pedersen JO. A comparative study on feature selection in text categorization. In: Fisher DH, ed. Proc. of the 14th Int'l Conf. on Machine Learning (ICML-97). Nashville: Morgan Kaufmann Publishers, 1997. 412-420.
4. Xu Yan, Li Jintao, et al. A Study of Feature Selection for Text Categorization on Imbalanced Data. Journal of Computer Research and Development, 2006, 11(43).
5. Bong, Chih How, K Narayanan. An Empirical Study of Feature Selection for Text Categorization based on Term weightage. The IEEE/WIC/ACM International Conference on Web Intelligence(WI'04), Beijing, 2004.
6. Shoushan Li and Chengqing Zong. A New Approach to Feature Selection for Text Categorization. The IEEE International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE). Wuhan, 2005. 626-630.
7. Xu Yan, Li Jintao. A Category Resolve Power-Based Feature Selection Method. Journal of Software, 2008, 6(19):82-89
8. Salton G. Introduction to Modern Information Retrieval[M]. New York: McGraw-Hill Book Company, 1983
9. Vapnik V N. The Nature of Statistical Learning Theory. New York: Springer-Verlag, 1995
10. T-Y Kwok. Automatic Text Categ orization Using Support Vector Machine CProc. Int. Cnrf.on Neural Information Processing, 1998.347-351