An Exhaustive Literature Review of Hadith Text Mining

被引:1
|
作者
Mosa, Mohamed Atef [1 ]
机构
[1] Inst Publ Adm, Digital Transformat Programs & Informat Dept, Riyadh, Saudi Arabia
关键词
Hadith text mining; classification; authentication; natural language processing; machine learning; deep learning;
D O I
10.1145/3588315
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Quran and the hadith of the Prophet are the two sources of legislation for Muslims. Sharia rulings and laws are not only derived from the Quran but also the bulk of them come through hadith. Understanding the hadith, its classification, and verification of its authenticity is vital to reach detailed rulings, as the volume of the hadith is many times greater than the volume of the Quran. As a result, mining in the hadith text is one of the things that has attracted the attention of researchers in the past few years. In this study, we conducted a survey of all the techniques and systems related to the mining of the hadith in its two parts, the Al-Matn and the Al-Sanad. On the other hand, the challenges and obstacles which confronted researchers have been shown; in addition, some suggested tips were highlighted to overcome those challenges. Furthermore, the most essential modern techniques used in the classification of Arabic texts, which gave a high degree of efficiency, were highlighted as milestones for future studies.
引用
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页数:16
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