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A Novel Coding and Discrimination (CODIS) Algorithm to Extract Features from Arabic Texts to Discriminate Arabic Poems
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Author(s): Nada Ahmed J. (MOP, Baghdad, Iraq), Abdul Monem S. Rahma (Computer Science Department, University of Technology, Baghdad, Iraq)and Maha A. Hmmood Alrawi (Department of Production Engineering and metallurgy, University of Technology, Baghdad, Iraq)
Copyright: 2019
Volume: 11
Issue: 1
Pages: 14
Source title:
International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC)
Editor(s)-in-Chief: Tao Gao (Zionlion Group Ltd. Shanghai, China)
DOI: 10.4018/IJAPUC.2019010101
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Abstract
This article proposes a new algorithm to discriminate Arabic poems by inserting Arabic poems texts and coding Arabic letters, extracting letters features depending on letter shapes to construct a multidimensional contingency table, and analyses the frequencies of letters in the inserted texts statistically. The proposed coding and discrimination (CODIS) algorithm could be applied for different Arabic texts in any media. A sample of five poems for six poets was examined to implement a CODIS algorithm. A Chi-Square statistic is used to determine the relation between the features and discriminate poems.
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