Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System

@inproceedings{Mohd2007ChiSF,
  title={Chi Square Feature Extraction Based Svms Arabic Language Text Categorization System},
  author={Abdelwadood Moh'd and A. M. Mesleh},
  year={2007}
}
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). 
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