Classifying Muslim ideologies from Islamic websites using text analysis based on Naive Bayes and TF-IDF

• Main Authors: Sharey Moustafa, Salma Moustafa, Olowolayemo, Akeem
• Format: Article
• Language: English; English; English
• Published: International Islamic University Malaysia 2022
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://irep.iium.edu.my/101738/1/Submissions%20_%20International%20Journal%20on%20Perceptive%20and%20Cognitive%20Computing.pdf; http://irep.iium.edu.my/101738/2/Classifying%20Muslim%20Ideologies%20from%20Islamic%20Websites%20using%20Text%20Analysis%20Based%20on%20Naive%20Bayes%20and%20TF-IDF.pdf; http://irep.iium.edu.my/101738/3/%5BIJPCC%5D%20Submission%20Acknowledgement%20-%20akeem%40iium.edu.my.pdf; http://irep.iium.edu.my/101738/; https://journals.iium.edu.my/kict/index.php/IJPCC

Reliable digital Islamic information is one of the challenges faced by innocent Islamic information seekers such as young Muslims, new Muslims as well as others who desire to find authentic information about Islam, Prophet Muhammad (saw), and Muslims, in general. Several deviant ideologies abound, a...