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Journal of Applied Sciences
  Year: 2005 | Volume: 5 | Issue: 3 | Page No.: 580-583
DOI: 10.3923/jas.2005.580.583
 
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Statistical Classifier of the Holy Quran Verses (Fatiha and Yaseen Chapters)

Mohammed Naji Al-Kabi, Ghassan Kanaan, Riyad Al- Shalabi, Kahlid M.O. Nahar and Basel Mohammed Bani- Ismail

Abstract:
Automatic Text Categorization (ATC) refer to the process of building software tools capable of assigning unseen documents to predefined categories or subjects. This study aims to automatically classify the verses (Ayat, sentences) of the Fatiha and Yaseen Surahs (Chapters) in the Quran according to the classifications of Islamic scholars. Our automatic text categorization is based on the traditional linear classification function (score function). A system (classifier) has been designed and implemented to categorize the different verses in each Sura (Chapter). This system fully normalizes the verses in the first stage and then the verses are categorized to classes for which they have highest score. The categorization process in this paper depends heavily on a specialized corpus of the Fatiha and Yaseen Surahs built by the authors. The corpus of the whole Quran has not been built before. To build a comprehensive corpus of the Holy Quran requires much time and efforts. Hence a corpus of the Fatiha and Yaseen Surahs was only built and this corpus will be extended to include all the Quran in later future work. This limitation of the corpus leads to a limitation of the categorization of the system to the Fatiha and Yaseen Surahs only. The accuracy of the system can be improved if a more powerful stemmer and a corpus is used. This study lays the foundation stone of building a full corpus of the Holy Quran and a classifier of different verses, which can be used to prove the unity of the subject and different verse similarities.
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How to cite this article:

Mohammed Naji Al-Kabi, Ghassan Kanaan, Riyad Al- Shalabi, Kahlid M.O. Nahar and Basel Mohammed Bani- Ismail, 2005. Statistical Classifier of the Holy Quran Verses (Fatiha and Yaseen Chapters). Journal of Applied Sciences, 5: 580-583.

DOI: 10.3923/jas.2005.580.583

URL: https://scialert.net/abstract/?doi=jas.2005.580.583

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