An Intelligent System For Arabic Text Categorization

@inproceedings{Syiam2006AnIS,
  title={An Intelligent System For Arabic Text Categorization},
  author={Mostafa Mahmoud Syiam and Zaki Taha Fayed and Mena B. Habib and Mohamed F. Tolba and Mohamed Saied Abdel-Wahab and Said Ghoniemy},
  year={2006}
}
Text Categorization (classification) is the process of classifying documents into a predefined set of categories based on their content. In this paper, an intelligent Arabic text categorization system is presented. Machine learning algorithms are used in this system. Many algorithms for stemming and feature selection are tried. Moreover, the document is represented using several term weighting schemes and finally the k-nearest neighbor and Rocchio classifiers are used for classification process… CONTINUE READING

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