Classification of Holy Quran verses based on imbalanced learning
Imbalanced Learning (IL) is considered as a special case of text classification. It is applied in order to classify Imbalanced classes that are not equal in the number of samples. There are many researches on classified Quranic text which depends on different methods of classification. However, th...
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| Format: | Article |
| Language: | English |
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International Journal on Islamic Applications in Computer Science And Technology
2020
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| Online Access: | http://irep.iium.edu.my/80764/ http://irep.iium.edu.my/80764/1/Classification%20of%20Holy%20Quran%20Verse%20based%20on%20Imbalance%20Learning.pdf |
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| author | Arkok, Bassam Akram, M. Zeki |
| author_facet | Arkok, Bassam Akram, M. Zeki |
| author_sort | Arkok, Bassam |
| building | IIUM Repository |
| collection | Online Access |
| description | Imbalanced Learning (IL) is considered as a special case of text classification. It is applied in order to
classify Imbalanced classes that are not equal in the number of samples. There are many researches on
classified Quranic text which depends on different methods of classification. However, there is no
study that classifies the Quranic topics based on Imbalanced Leaning. So, this paper aims to apply the
concept of IL to assign corresponding topics for the Quranic verses according to their contents. In this
paper, two Quranic datasets have been classified by using Imbalanced Learning consecutively; the
first dataset is Unification of God “Tawheed” and Polytheism of God “Shirk” verses, the second
dataset is Meccan, and Medinan chapters. Imbalanced Classification is applied here since these topics
have imbalanced classes which cannot be classified correctly by traditional methods. The results
showed that applying Imbalanced Classification produces better outcomes than the results that are
executed without using Imbalanced Classification techniques. |
| first_indexed | 2025-11-14T17:50:02Z |
| format | Article |
| id | iium-80764 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:50:02Z |
| publishDate | 2020 |
| publisher | International Journal on Islamic Applications in Computer Science And Technology |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-807642020-06-22T03:44:17Z http://irep.iium.edu.my/80764/ Classification of Holy Quran verses based on imbalanced learning Arkok, Bassam Akram, M. Zeki T173.5 Technology and Islam Imbalanced Learning (IL) is considered as a special case of text classification. It is applied in order to classify Imbalanced classes that are not equal in the number of samples. There are many researches on classified Quranic text which depends on different methods of classification. However, there is no study that classifies the Quranic topics based on Imbalanced Leaning. So, this paper aims to apply the concept of IL to assign corresponding topics for the Quranic verses according to their contents. In this paper, two Quranic datasets have been classified by using Imbalanced Learning consecutively; the first dataset is Unification of God “Tawheed” and Polytheism of God “Shirk” verses, the second dataset is Meccan, and Medinan chapters. Imbalanced Classification is applied here since these topics have imbalanced classes which cannot be classified correctly by traditional methods. The results showed that applying Imbalanced Classification produces better outcomes than the results that are executed without using Imbalanced Classification techniques. International Journal on Islamic Applications in Computer Science And Technology 2020-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/80764/1/Classification%20of%20Holy%20Quran%20Verse%20based%20on%20Imbalance%20Learning.pdf Arkok, Bassam and Akram, M. Zeki (2020) Classification of Holy Quran verses based on imbalanced learning. International Journal on Islamic Applications in Computer Science And Technology, 8 (2). pp. 11-24. ISSN 2289-4012 http://www.sign-ific-ance.co.uk/index.php/IJASAT/article/view/2200 |
| spellingShingle | T173.5 Technology and Islam Arkok, Bassam Akram, M. Zeki Classification of Holy Quran verses based on imbalanced learning |
| title | Classification of Holy Quran verses based on imbalanced learning |
| title_full | Classification of Holy Quran verses based on imbalanced learning |
| title_fullStr | Classification of Holy Quran verses based on imbalanced learning |
| title_full_unstemmed | Classification of Holy Quran verses based on imbalanced learning |
| title_short | Classification of Holy Quran verses based on imbalanced learning |
| title_sort | classification of holy quran verses based on imbalanced learning |
| topic | T173.5 Technology and Islam |
| url | http://irep.iium.edu.my/80764/ http://irep.iium.edu.my/80764/ http://irep.iium.edu.my/80764/1/Classification%20of%20Holy%20Quran%20Verse%20based%20on%20Imbalance%20Learning.pdf |