Arabic Documents Classification by a Radial Basis Hybridization-Reference-Cited by-同舟云学术

Arabic Documents Classification by a Radial Basis Hybridization

Published:2021-11-23 Issue: Volume:15 Page:140-147
ISSN:1998-0140
Container-title:International Journal of Mathematical Models and Methods in Applied Sciences
language:en
Short-container-title:

Author:

Zaki Taher¹,Mammass Driss¹,Ennaji Abdellatif²,Nicolas Stéphane²

Affiliation:

1. IRFSIC Laboratory Ibn Zohr University Agadir, Morocco

2. LITIS Laboratory University of Rouen Rouen, France

Abstract

In this paper, we propose a hybrid system for contextual and semantic indexing of Arabic documents, bringing an improvement to classical models based on n-grams and the Okapi model. This new approach takes into account the concept of the semantic vicinity of terms. We proceed in fact by the calculation of similarity between words using an hybridization of NGRAMs-OKAPI statistical measures and a kernel function in order to identify relevant descriptors. Terminological resources such as graphs and semantic dictionaries are integrated into the system to improve the indexing and the classification processes.

Publisher

North Atlantic University Union (NAUN)

Subject

Applied Mathematics,Computational Mathematics,Mathematical Physics,Modeling and Simulation

Reference40 articles.

1. Al-Shalabi R., Kanaan G., and Gharaibeh M., Arabic Text Categorization Using kNN Algorithm, Proceedings of The 4th International Multiconference on Computer Science and Information Technology, Vol. 4, Amman, Jordan, April 5-7, 2006.

2. Al-Shalabi R., and Obeidat R., "Improving KNN Arabic Text Classification with N-Grams Based Document Indexing", INFOS2008, March 27-29, 2008 Cairo-Egypt.

3. Al-Shalabi R., Kanaan G., and Gharaibeh M., "Arabic Text Categorization Using kNN Algorithm", 6th International Conference on Advanced Information Management and Service (IMS), 2010, Seoul.

4. Aljlayl M. and Frieder O., 2002. On Arabic Search: Improving the Retrieval Effectiveness via a Light Stemming Approach, In 11th International Conference on Information and Knowledge Management (CIKM), November 2002, Virginia (USA), pp.340-347.

5. Alsaleem S., "Automated Arabic Text Categorization Using SVM and NB", International Arab Journal of e-Technology, Vol. 2, No. 2, June 2011.