Feature reduction techniques for Arabic text categorization

Author:

Duwairi Rehab,Al-Refai Mohammad Nayef,Khasawneh Natheer

Publisher

Wiley

Subject

Artificial Intelligence,Computer Networks and Communications,Human-Computer Interaction,Information Systems,Software

Reference20 articles.

1. Al-Shalabi, R., Kanaan, G., & Al-Serhan, H. (2003, December). A new approach for extracting Arabic roots. Paper presented at the International Arab Conference on Information Technology (ACIT), Alexandra, Egypt.

2. Basu, A., Walters, C., & Shepherd, M. (2003). Support vector machines for text categorization. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences (pp. 103-109). Los Alamitos, California: IEEE Press. Retrieved July 2, 2009, from http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1174243&isnumber=26341

3. Bednar, P. (2006, January). Active learning of SVM and decision tree classifiers for text categorization. Paper presented at the Fourth Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence, Herlany, Slovakia.

4. Correa, R.F., & Ludermir, T.B. (2002, November). Automatic text categorization: Case study. Paper presented at the VII Brazilian Symposium on Neural Networks, Pernambuco, Brazil.

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