Ta'a, Azman and Sudin, Shahrizal (2018) Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach. In: Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia.

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Abstract

This paper portrays the process of Natural language processing (NLP) to explore the meaningful concept in Al-Baqarah chapter of Al-Quran. Understanding the concept defined from the verses of Al-Quran will help users to learn Al-Quran content. Traditionally, the learner needs help from an Islamic Scholar to determine and understand the concept of Al-Quran verses. However, current tools lack to help user to extract and explore the meaningful concepts of the Al-Qur’an verses. This paper elaborates the using of text mining approach for identifying the meaningful concept such as prophets, messengers and fasting. Essentially, the analysis of meaningful concepts in Al-Baqarah chapter was performed using text mining approach in R Programming. The benchmarking approach has been used to validate the meaningful concepts produced from the analysis. The validation method compared the similarity of meaningful concept with the existing Al-Quran Malay translation text. The results have shown the similarity of meaningful concepts produced from text mining analysis with the existing Al-Quran textbooks.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 9789670910871 Organized by: School of Computing, College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords:	Natural language processing, text mining, meaningful concept, analytic programming, Al-Quran
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	25 Nov 2018 02:39
Last Modified:	03 Nov 2020 07:35
URI:	https://repo.uum.edu.my/id/eprint/25224

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