Towards a Deep Leaning-based Approach for Hadith Classification

Moath Mustafa Ahmad Najeeb
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Moath Mustafa Ahmad Najeeb: Umm Al-Qura University, Saudi Arabia

European Journal of Engineering and Technology Research, 2021, vol. 6, issue 3, 9-15

Abstract: The exploration of Hadith sciences gains significant consideration over the most recent couple of years. Hadith is mostly the sayings of Prophet Mohammad. The Holy Quran represents the first origin of law in Islam then Hadith takes the second role. Many research efforts manage Hadith with respect to the “Isnad” and “Matn”; which are the main two pieces of Hadith. In this paper, we examine the chance of utilizing Deep Learning to process Isnad of Hadiths. Consequently, a definitive objective of our framework is to help in the systematic classification of Hadiths and differentiate among the correct (“Sahih”) Hadiths and the not accurate (“Da'ief”) Hadiths.

Keywords: Deep Learning; Classification; Hadith; Arabic Language Processing; Isnad (search for similar items in EconPapers)
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:6:y:2021:i:3:id:62378

DOI: 10.24018/ejeng.2021.6.3.2378

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