International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 47 - Issue 23 |
Published: June 2012 |
Authors: A. F. Alajmi, E. M Saad, M H Awadalla |
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A. F. Alajmi, E. M Saad, M H Awadalla . DACS Dewey index-based Arabic Document Categorization System. International Journal of Computer Applications. 47, 23 (June 2012), 50-57. DOI=10.5120/7500-0634
@article{ 10.5120/7500-0634, author = { A. F. Alajmi,E. M Saad,M H Awadalla }, title = { DACS Dewey index-based Arabic Document Categorization System }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 47 }, number = { 23 }, pages = { 50-57 }, doi = { 10.5120/7500-0634 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A A. F. Alajmi %A E. M Saad %A M H Awadalla %T DACS Dewey index-based Arabic Document Categorization System%T %J International Journal of Computer Applications %V 47 %N 23 %P 50-57 %R 10.5120/7500-0634 %I Foundation of Computer Science (FCS), NY, USA
This paper is devoted to the development of Arabic Text Categorization System. First, a stop-words list is generated using statistical approach which captures the inflation of different Arabic words. Second, a feature representation model based on Hidden Markov Model is developed to extract roots and morphological weights. Third, a semantic synonyms merge technique is presented for feature reduction. Finally a Dewey-Index Based Back-propagation Artificial Neural Network is developed for Arabic Document Categorization. The system was compared with other classifiers and the results reveal a promising architecture.