Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach
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 Sch...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2018
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| Online Access: | https://repo.uum.edu.my/id/eprint/25224/1/KMICE%202018%20194%20199.pdf https://repo.uum.edu.my/id/eprint/25224/ http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html |
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| _version_ | 1834418472763785216 |
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| author | Ta'a, Azman Sudin, Shahrizal |
| author_facet | Ta'a, Azman Sudin, Shahrizal |
| author_sort | Ta'a, Azman |
| building | UUM Library |
| collection | Institutional Repository |
| content_provider | Universiti Utara Malaysia |
| content_source | UUM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Conference or Workshop Item |
| id | my.uum.repo-25224 |
| institution | Universiti Utara Malaysia |
| language | en |
| publishDate | 2018 |
| record_format | eprints |
| spelling | my.uum.repo-252242020-11-03T07:35:32Z https://repo.uum.edu.my/id/eprint/25224/ Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach Ta'a, Azman Sudin, Shahrizal QA75 Electronic computers. Computer science 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. 2018-07-25 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/25224/1/KMICE%202018%20194%20199.pdf 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. http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html |
| spellingShingle | QA75 Electronic computers. Computer science Ta'a, Azman Sudin, Shahrizal Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach |
| title | Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach |
| title_full | Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach |
| title_fullStr | Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach |
| title_full_unstemmed | Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach |
| title_short | Exploring Meaningful Concepts of Al-Baqarah Chapter Using Text Mining Approach |
| title_sort | exploring meaningful concepts of al-baqarah chapter using text mining approach |
| topic | QA75 Electronic computers. Computer science |
| url | https://repo.uum.edu.my/id/eprint/25224/1/KMICE%202018%20194%20199.pdf https://repo.uum.edu.my/id/eprint/25224/ http://www.kmice.cms.net.my/ProcKMICe/KMICe2018/toc.html |
| url_provider | http://repo.uum.edu.my/ |