Comparative analysis for topic classification in juz Al-Baqarah
In Islam, Quran is the holy book that was revealed to the Prophet Muhammad. It functions as complete code of life for the Muslims. Remarks from Allah which contains more than 77,000 words that was passed down through Prophet Muhammad to the mankind for 23 years started in 610 ce. The Quran was divid...
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| Format: | Article |
| Language: | English |
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Institute of Advanced Engineering and Science.
2018
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| Online Access: | http://eprints.uthm.edu.my/4982/ http://eprints.uthm.edu.my/4982/1/AJ%202018%20%28803%29%20Comparative%20analysis%20for%20topic%20classification%20in%20juz%20Al-Baqarah.pdf |
| _version_ | 1848888431848980480 |
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| author | Rahman, Mohamad Izzuddin Samsudin, Noor Azah Mustapha, Aida Abdullahi Oyekunle, Adeleke |
| author_facet | Rahman, Mohamad Izzuddin Samsudin, Noor Azah Mustapha, Aida Abdullahi Oyekunle, Adeleke |
| author_sort | Rahman, Mohamad Izzuddin |
| building | UTHM Institutional Repository |
| collection | Online Access |
| description | In Islam, Quran is the holy book that was revealed to the Prophet Muhammad. It functions as complete code of life for the Muslims. Remarks from Allah which contains more than 77,000 words that was passed down through Prophet Muhammad to the mankind for 23 years started in 610 ce. The Quran was divided into 114 chapters. Arabic language is the original text. The need for the Muslims across the world to find the meaning to understand the content in the Quran is necessary. Nevertheless, understanding the Quran is an interest for the Muslims as well as the attention of millions of people from the faiths. Following the generation, lots of content that related to the Quran has been broadcast by Muslims scholars in the way of the tafsirs, translation and the book of hadiths. Problem has happened at current is most Muslim in Malaysia do not understand sentences in the Quran due to language barrier. The purpose of this research is classified topic in each verses of the Quran sentence based on its specific theme. It involves the objective of text mining which are based on linguistic information and domain. The usage of corpus helps to perform various data mining tasks including information extraction, text categorization, the relationship of concepts, association discovery, the evaluation of pattern and assessed. This research project is aiming to create computing environment that enable us use to text mining the Quran. The classification experiment is using the Support Vector Machine to find themes in Juz‟ Baqarah. The SVM performance is then compared against other classification algorithms such as Naive Bayes, J48 Decision Tree and K-Nearest Neighbours. This research project aims at creating an enabling computational environment for text mining the Qur‟an and to facilitate users to understand every verse in Juz‟ Baqarah. |
| first_indexed | 2025-11-15T20:10:11Z |
| format | Article |
| id | uthm-4982 |
| institution | Universiti Tun Hussein Onn Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:10:11Z |
| publishDate | 2018 |
| publisher | Institute of Advanced Engineering and Science. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | uthm-49822022-01-03T02:42:56Z http://eprints.uthm.edu.my/4982/ Comparative analysis for topic classification in juz Al-Baqarah Rahman, Mohamad Izzuddin Samsudin, Noor Azah Mustapha, Aida Abdullahi Oyekunle, Adeleke BP Islam. Bahaism. Theosophy, etc TA168 Systems engineering In Islam, Quran is the holy book that was revealed to the Prophet Muhammad. It functions as complete code of life for the Muslims. Remarks from Allah which contains more than 77,000 words that was passed down through Prophet Muhammad to the mankind for 23 years started in 610 ce. The Quran was divided into 114 chapters. Arabic language is the original text. The need for the Muslims across the world to find the meaning to understand the content in the Quran is necessary. Nevertheless, understanding the Quran is an interest for the Muslims as well as the attention of millions of people from the faiths. Following the generation, lots of content that related to the Quran has been broadcast by Muslims scholars in the way of the tafsirs, translation and the book of hadiths. Problem has happened at current is most Muslim in Malaysia do not understand sentences in the Quran due to language barrier. The purpose of this research is classified topic in each verses of the Quran sentence based on its specific theme. It involves the objective of text mining which are based on linguistic information and domain. The usage of corpus helps to perform various data mining tasks including information extraction, text categorization, the relationship of concepts, association discovery, the evaluation of pattern and assessed. This research project is aiming to create computing environment that enable us use to text mining the Quran. The classification experiment is using the Support Vector Machine to find themes in Juz‟ Baqarah. The SVM performance is then compared against other classification algorithms such as Naive Bayes, J48 Decision Tree and K-Nearest Neighbours. This research project aims at creating an enabling computational environment for text mining the Qur‟an and to facilitate users to understand every verse in Juz‟ Baqarah. Institute of Advanced Engineering and Science. 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/4982/1/AJ%202018%20%28803%29%20Comparative%20analysis%20for%20topic%20classification%20in%20juz%20Al-Baqarah.pdf Rahman, Mohamad Izzuddin and Samsudin, Noor Azah and Mustapha, Aida and Abdullahi Oyekunle, Adeleke (2018) Comparative analysis for topic classification in juz Al-Baqarah. Indonesian Journal of Electrical Engineering and Computer Science, 12 (1). pp. 406-411. ISSN 2502-4752 |
| spellingShingle | BP Islam. Bahaism. Theosophy, etc TA168 Systems engineering Rahman, Mohamad Izzuddin Samsudin, Noor Azah Mustapha, Aida Abdullahi Oyekunle, Adeleke Comparative analysis for topic classification in juz Al-Baqarah |
| title | Comparative analysis for topic classification in juz Al-Baqarah |
| title_full | Comparative analysis for topic classification in juz Al-Baqarah |
| title_fullStr | Comparative analysis for topic classification in juz Al-Baqarah |
| title_full_unstemmed | Comparative analysis for topic classification in juz Al-Baqarah |
| title_short | Comparative analysis for topic classification in juz Al-Baqarah |
| title_sort | comparative analysis for topic classification in juz al-baqarah |
| topic | BP Islam. Bahaism. Theosophy, etc TA168 Systems engineering |
| url | http://eprints.uthm.edu.my/4982/ http://eprints.uthm.edu.my/4982/1/AJ%202018%20%28803%29%20Comparative%20analysis%20for%20topic%20classification%20in%20juz%20Al-Baqarah.pdf |