An Exhaustive Literature Review of Hadith Text Mining

Author:

Mosa Mohamed Atef1ORCID

Affiliation:

1. Digital Transformation Programs and Information Department, Institute of Public Administration, Riyadh, Saudi Arabia

Abstract

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.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference49 articles.

1. Knowledge Discovery in the Hadith According to the Reliability and Memory of the Reporters Using Machine Learning Techniques

2. Classification of Hadith According to Its Content Based on Supervised Learning Algorithms

3. S. Al Faraby, E. R. R. Jasin, and A. Kusumaningrum. 2018. Classification of hadith into positive suggestion, negative suggestion, and information. In Journal of Physics: Conference Series. IOP Publishing 971, 1 (2018), 012046.

4. Novel Mechanism to Improve Hadith Classifier Performance

5. A Superior Arabic Text Categorization Deep Model (SATCDM)

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