Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System
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TLDR
This system shows a high classification effectiveness for Arabic data set in term of F-measure (F=88.11) and uses CHI square method as a feature selection method in the pre-processing step of the Text Classification system design procedure.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).read more
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Journal ArticleDOI
Machine learning
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.