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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Insight - Indonesian Society for Knowledge and Human Development
2017
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/3423/1/AJ%202017%20%28487%29.pdf http://eprints.uthm.edu.my/3423/ https://dx.doi.org/10.18517/ijaseit.7.4.2198 |
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| Institution: | Universiti Tun Hussein Onn Malaysia |
| Language: | English |