@article {10.3844/jcssp.2007.430.435, article_type = {journal}, title = {Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System }, author = {MESLEH, Abdelwadood Moh’d A}, volume = {3}, number = {6}, year = {2007}, month = {Jun}, pages = {430-435}, doi = {10.3844/jcssp.2007.430.435}, url = {https://thescipub.com/abstract/jcssp.2007.430.435}, 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). }, journal = {Journal of Computer Science}, publisher = {Science Publications} }