An Automated Arabic Text Categorization System Based on Support Vector Machines and Chi-Square Feature Selection

International Journal of Computer Science and Technology | Vol. 8, No. 6, June 2006 | pp. 41–48

DOI: 10.46882/2006/IJCST/080621

Research Article

Title: An Automated Arabic Text Categorization System Based on Support Vector Machines and Chi-Square Feature Selection

Names of Authors: Tariq Al-Farsi¹, Fatima Al-Zahra²

Authors’ Affiliations: ¹Department of Computer Science, Sultan Qaboos University, Muscat, Oman; ²Faculty of Sciences, University of Tunis El Manar, Tunis, Tunisia

Abstract:
Automated categorization of Arabic text documents faces specific challenges because of the language's complex morphology and rich root system. This paper introduces an Arabic text classification framework that uses a custom root-extraction stemming pipeline alongside a Chi-Square feature selection technique. High-dimensional vector models are categorized using a binary-tree Support Vector Machine (SVM) configuration. The platform was evaluated on an in-house corpus containing 7,430 news documents spread across six topical classifications. The system achieved a macro-averaged precision rate of P = 93.45% and an F1-measure index of 92.18%. Incorporating the Chi-Square feature reduction method compressed the vector space size by 82.3%, dropping classifier training times from t = 142 minutes down to t = 18.5 minutes. These metrics validate the framework's capability to process large textual streams for digital libraries and intelligence analysis systems.

Keywords: Text Categorization, Support Vector Machines, Arabic Natural Language Processing, Feature Selection, Stemming

Manuscript Timeline: Received March 10, 2006; Revised April 25, 2006; Accepted May 15, 2006; Published June 23, 2006

Citation: Al-Farsi, T., & Al-Zahra, F. (2006). An Automated Arabic Text Categorization System Based on Support Vector Machines and Chi-Square Feature Selection. International Journal of Computer Science and Technology, 8(6), 41–48.

Subscribe to read the full article: https://www.internationalscholarsjournals.org/subscribe-to-read