Abstract: This paper aims to implement a Support Vector Machines (SVMs) based text classification system for Arabic language articles. This classifier uses CHI square method as a feature selection method in the pre-processing step of the Text Classification system design procedure. Comparing to other classification methods, our system shows a high classification effectiveness for Arabic data set in term of F-measure (F=88.11).
REF Discussed that "Compared to other classification methods, their system shows a high classification effectiveness for Arabic data set in terms of F measure (F=88.11)".
Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System
Journal of Computer Science
Computer Science