Comparative analysis of text classification algorithms for automated labelling of quranic verses

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Comparative analysis of text classification algorithms for automated labelling of quranic verses

The ultimate goal of labelling a Quranic verse is to determine its corresponding theme. However, the existing Quranic verse labelling approach is primarily depending on the availability of Quranic scholars who have expertise in Arabic language and Tafseer. In this paper, we propose to automate the l...

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Bibliographic Details
Main Authors:	Adeleke, Abdullah, Samsudin, Noor Azah, Mustapha, Aida, Mohd Nawi, Nazri
Format:	Article
Language:	English
Published:	Insight - Indonesian Society for Knowledge and Human Development 2017
Subjects:	QA76 Computer software
Online Access:	http://eprints.uthm.edu.my/3423/ http://eprints.uthm.edu.my/3423/1/AJ%202017%20%28487%29.pdf

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