24x7 Service; AnyTime; AnyWhere

Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach

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.

[thumbnail of KMICE 2018 194 199.pdf] PDF
Restricted to Registered users only

Download (866kB) | Request a copy


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

Actions (login required)

View Item View Item