An extended oversampling method for imbalanced Quranic text classification based on a genetic algorithm

• Main Authors: Arkok, Bassam, Zeki, Akram M., Othman, Roslina, Aborujilah, Abdulaziz
• Format: Article
• Language: English
• Published: Deuton-X Ltd. 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; TK7885 Computer engineering
• Online Access: http://irep.iium.edu.my/106759/7/106759_An%20extended%20oversampling%20method%20for%20imbalanced%20Quranic%20text.pdf; http://irep.iium.edu.my/106759/; https://www.eurchembull.com/issue-content/an-extended-oversampling-method-for-imbalanced-quranic-text-classification-based-on-a-genetic-algorithm-7704

The Quran is considered the holy book for the Muslim community, and its text contains vast amounts of knowledge and guidance that Muslims strive to extract and understand. To achieve this, Quranic text classification plays a crucial role in categorizing and organizing the vast amount of information...