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Classification of Qur’anic topics based on imbalanced classification

Arkok, Bassam and Khedher, Akram M Z M (2020) Classification of Qur’anic topics based on imbalanced classification. Indonesian Journal of Electrical Engineering and Computer Science, 22 (2). pp. 678-687. ISSN 2502-4752 E-ISSN 2502-4760

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Imbalanced classification techniques have been applied widely in the field of data mining. It is used to classify the imbalanced classes that are not equal in the number of samples. The problem of imbalanced classes is that the classification performance tends to the class with more samples while the class with few samples will obtain poor performance. This problem can be occurred in the Qur’anic classification due to the different in the number of verses. Many studies classified Qur’anic verses, which depended on the traditional classification. However, no study classified Qur’anic topics based on the techniques of imbalanced classification. Therefore, this paper aims to apply the methods of imbalanced classification as synthetic minority oversampling technique (SMOTE), random over sample (ROS), and random under sample (RUS) methods to classify the Qur’anic topics that are imbalanced. Many metrics were used in this research to evaluate the experimental results. These metrics are sensitivity/recall, specificity, overall accuracy, f-measure, g-mean, and matthews correlation coefficient (MCC). The results showed that the Qur’anic classification performance improved when imbalanced classification techniques were applied.

Item Type: Article (Journal)
Uncontrolled Keywords: Imbalanced classification Quran Re-sampling methods Text classification Topics
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Akram M Zeki
Date Deposited: 04 Mar 2022 15:06
Last Modified: 04 Mar 2022 15:08
URI: http://irep.iium.edu.my/id/eprint/97025

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