Naive bayesian and K-nearest neighbour to categorize Arabic text data

ESM 2008 - 2008 European Simulation and Modelling Conference: Modelling and Simulation 2008

Volumn , Issue , 2008, Pages 196-200

  Hadi, Wa'el Musa ^a   Al Hawari, Samer ^b   Thabtah, Fadi ^c   Ababneh, Jafar ^a  

^a Arab Academy for Banking and Financial Sciences Jordan   (Jordan)

^b Science University   (Jordan)

^c APPLIED SCIENCE PRIVATE UNIVERSITY   (Jordan)

Author keywords

Arabic text data; K nearest neighbour; Na ve bayesian; Text categorization

Indexed keywords

BAYESIAN NETWORKS; MODAL ANALYSIS; TEXT PROCESSING;

ARABIC TEXTS; BAYESIAN; CLASSIFICATION SYSTEM; COSINE COEFFICIENT; K-NEAREST NEIGHBOUR ALGORITHMS; K-NEAREST NEIGHBOURS; TEXT CATEGORIZATION; TEXT CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 84898995302     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Benkhalifa, M., A. Mouradi, and H. Bouyakhf. 2001. Integrating WordNet knowledge to supplement training data in semi-supervised agglomerative hierarchical clustering for text categorization. Int. J. Intell. Syst. 16(8): 929-947.
2. Guo, G., H. Wang, D. Bell, Y. Bi, and K. Greer. 2004. "An kNN Model-based Approach and its Application in Text Categorization", Proc. of 5th International Conference on Intelligent Text Processing and Computational Linguistic, CICLing-2004, LNCS 2945, Springer-Verlag, pages 559-570.
3. El-IIalees A. 2006. Mining Arabic Association Rules for Text Classification In the proceedings of the first international conference on Mathematical Sciences. Al-Azhar University of Gaza, Palestine, 15 -17(2006). To be appear.
4. El-Halees A. 2007. Arabic Text Classification Using Maximum Entropy The Islamic University Journal (Series of Natural Studies and Engineering)Vol. 15, No.1, pp 157-167, 2007.
5. Hammo, B., Abu-Salem, H., Lytinen, S., and Evens, M. 2002. "QARAB: A Question Answering System to Support the Arabic Language". Workshop on Computational Approaches to Semitic Languages. ACL 2002, Philadelphia, PA, July. pp. 55-65.
6. Joachims T. 1998. Text Categorization with Support Vector Machines: Learning with Many Relevant Features. Proceedings of the European Conference on Machine Learning (ECML), (pp. 173-142). Berlin, 1998, Springer.
7. El-Kourdi, M., Bensaid, A., Rachidi, T. 2004. Automatic Arabic Document Categorization Based on the Naive Bayes Algorithm. 20th International Conference on Computational Linguistics.August 28th. Geneva (2004).
8. Laila Khreisat 2006. Arabic Text Classification Using N-Gram Frequency Statistics A Comparative Study. DM IN 2006: 78-82.
9. Mesleh A. A. 2007. "Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System, " Journal of Computer Science 3 (6): 2007, pp. 430-435.
10. Moulinier, I., Raskinis, G., Ganascia, J. 1996. Text categorization: A symbolic approach. Proceedings of the Fifth Annual Symposium on Document Analysis and Information Retrieval, 1996.
11. Quinlan, J. 1993. C4.5: Programs for machine learning. San Mateo, CA: Morgan Kaufmann.
12. Sakhr software company Website:www.sakhrsoft.com, 2004.
13. Salton, Gerard, A. Wong and C.S. Yang. A VSM for Automatic Indexing. Communications of the ACM, 18, 613-620. 1975.
14. Sawaf, H., Zaplo, J. and Ney, H. 2001. "Statistical Classification Methods for Arabic News Articles". Arabic Natural Language Processing, Workshop on the ACL'2001. Toulouse, France, July.
15. F.Sebastiani 1999. "A Tutorial on Automated Text Categorization, "Proceedings of the ASAI-99, 1st Argentinian Symposium on Artificial Intelligence, pp. 7-35, 1999.
16. Tzeras, K., Hartman, S. (1993) Automatic indexing based on bayesian inference networks. Proceedings of the 16th Ann Int ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'93), (pp. 22-34, 1993).
17. Van Rijsbergan, C. 1979. Information retrieval Buttersmiths, London, 2nd Edition, 1979.
18. E. Wiener, J. O. Pedersen, and A. S. Weigend 1995. "A neural network approach to topic spotting, " Proceedings of the Fourth Annual Symposium on Document Analysis and Information Retrieval (SDAIR'95), pp. 317-332, Las Vegas, Nevada, 1995.
19. Yang, Y. 1999. An evaluation of statistical approaches to text categorization, Journal of Information Retrieval, 1(1/2):67-88, 1999.
20. Yang Y., Liu X. 1999. A re-examination of text categorization methods. Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'99), (pp. 42-49), 1999.