studies in hadith methodology and literature

Studies in Hadith Methodology and Literature

Muhammad mustafa al-ʿazami , anwar beg  ( editor ).

155 pages, Paperback

First published January 1, 1978

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Muhammad Mustafa al-ʿAzami

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Studies in Hadith Methodology and Literature

By m. mustafa al-a'zami.

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This is a topic-by-topic study about the science of Hadith written to fulfil the needs of modern college students whose medium of instruction is mainly in English.

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Modern Hadith Studies

Continuing debates and new approaches.

• Belal Abu-Alabbas , Christopher Melchert and Michael Dann
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• Language: English
• Publisher: Edinburgh University Press
• Copyright year: 2020
• Audience: College/higher education;
• Main content: 232
• Other: 16 B/W tables
• Keywords: Islamic Studies
• Published: March 24, 2022
• ISBN: 9781474441810

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Modern Hadith Studies: Continuing Debates and New Approaches

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The authenticity of hadith—whether this or that report is correctly attributed—was a major subject of scholarship in the Middle Ages and has continued to be today. However, this collection of articles is primarily concerned with other problems involving hadith: changing interpretations over time, the use of hadith not to establish rules but to encourage godly behaviour, comparison between modern and premodern methods of hadith study, the collection and study of hadith among jurisprudents and Sufis as well as traditionists (hadith specialists), the development of hadith studies in the Levant and Turkey, and different approaches to hadith among modern Sunni and Shiʿi scholars.

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Studies in Hadith methodology and literature

This book discusses the methodology and literature of ahadith. It is divided into 2 parts, part 1 deals with the methodology of the hadith, and the second part discusses the literature, introducing the  principal books, as well as others which had great significance and represent a stage in the compilation of Hadith books. The author hopes that through careful reading, it would eliminate most of the doubts which have been created, deliberately or out of ignorance, by Orientalists and others and would provide basic knowledge of the subject.

About the Author:

Professor Muhammad Mustafa Al-Azami, one of the world’s premier scholars of Hadith, was born in Mau, India in the early 1930s and received his education successively at Dar al-Ulum Deoband, India (1952), al-Azhar University, Cairo (M.A., 1955), and University of Cambridge (Ph.D., 1966). He is Professor Emeritus at King Sa’ud University (Riyadh) where he also chaired the department of Islamic Studies; he holds a Saudi citizenship. Al-Azami served as curator of the National Public Library, Qatar; Associate Professor at Umm al-Qura University (Makkah); Visiting Scholar at University of Michigan (Ann Arbor); Visiting Fellow at St. Cross College (University of Oxford); King Faisal Visiting Professor for Islamic Studies at Princeton; and Visiting Scholar at University of Colorado (Boulder). He is also an Honorary Professor at University of Wales (Lampeter). His publications include Studies in Early Hadith Literature, Hadith Methodology and Literature, On Schacht’s Origins of Muahmmadan Jurisprudence, Dirasat fi al-Hadith an-Nabawi, Kuttab an-Nabi, Manhaj an-Naqd ‘ind al-Muhaddithin, and al-Muhaddithun min al-Yamamah. Among his credited works are al-Ilal of Ibn al-Madini, Kitab at-Tamyiz of Imam Muslim, Maghazi Rasulullah of Urwah ibn Zubayr, Muwatta Imam Malik, Sahih ibn Khuzaimah, and Sunan ibn Majah. Many of al-Azami’s works have been translated internationally, and his forthcoming works include The Qur’anic Challenge: A Promise Fulfilled, and The Isnad System: Its Origins and Authenticity. In 1980 he was the recipient of the prestigious King Faisal International Award for Islamic Studies.

Rare interview with Dr. Azami:

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The utilization of machine learning on studying Hadith in Islam: A systematic literature review

• Published: 17 July 2023
• Volume 29 , pages 5381–5419, ( 2024 )

Cite this article

• Bambang Sulistio   ORCID: orcid.org/0000-0002-5499-179X 1 ,
• Arief Ramadhan 2 ,
• Edi Abdurachman 3 ,
• Muhammad Zarlis 1 , 4 &
• Agung Trisetyarso 1 , 5  

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Computer science development, especially machine learning, is a thriving innovation essential for education. It makes the process of teaching and learning more accessible and manageable and also promotes equality. The positive influence of machine learning can also be felt in Islamic studies, particularly in Hadith studies. This literature review highlights the role of machine learning in managing research regarding Hadith studies that have been published and categorizing it by their research topics, language & corpus, and the machine-learning algorithms. This article review has been conducted on 48 previously published hadith study journals. Then, we summarize existing trends, including trending topics, common language & corpus, and general algorithms often used in previous hadith-related reviews. This article aims to give new insight to help the broad community of researchers interested in these narrations to create fresh and further research with the uncommon topic, language & corpus, and algorithms. Furthermore, this article is also expected to contribute to academics and practitioners as a guide for conducting future research on the application of computer science in Hadith studies. We conclude that the most frequently discussed topic is Hadith Classification at 33.33%, the most widely used language is Arabic at 43.75%, and the most commonly used algorithm is SVM at 12.5%. In addition, the dataset mainly used is a public dataset by Al-Bukhari at 30.53%

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Computer Science Department, Binus Graduate Program – Doctor of Computer Science, Bina Nusantara University, 11480, Jakarta, Indonesia

Bambang Sulistio, Muhammad Zarlis & Agung Trisetyarso

School of Computing, Telkom University, 40257, Bandung, Indonesia

Arief Ramadhan

Management Department, Institute of Transportation and Logistics Trisakti, 13410, Jakarta, Indonesia

Edi Abdurachman

Information System Management Department, BINUS Graduate Program – Master of Information System Management, Bina Nusantara University, 11480, Jakarta, Indonesia

Muhammad Zarlis

Computer Science Department, Department of Mathematics, Bina Nusantara University, 11480, Jakarta, Indonesia

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BS search for the topic that will be used in the SLR journal. AR and AT compile the introduction section based on the journal topic. EA and MZ conduct a review and correction of the introduction section. BS and AR determine the method to be used in the research. BS design and determine the Research Question (RQ) that will be used to guide the literature search and extraction process. BS, AR and AT discuss and provide input on the RQ to make the research more focused. EA and MZ provide guidance for the RQ to be more measurable, and directed towards understanding the state-of-the-art research on the research topic. BS and AR define the criteria for Quality Assessments (QA) used in selecting journals from the search results. BS and AR determine the digital library used to search for journal keywords. AT provide input to add digital libraries. BS and AR define the steps for searching for journals using search keywords. BS Conduct a search using title and abstract keywords and filter based on topic, time and journal type. BS Select journals from the search results based on inclusion and exclusion criteria. BS gather, group and store the data from the selected journals into an Excel file. BS perform data extraction by reading and filtering the journals based on RQ and QA. BS and AR display the literature review results of the journals obtained from data extraction and create visualizations and display the results in the form of tables and graphs. EA and MZ conduct a review and correction of the way the visualization results are displayed. BS and AR Add a discussion section containing an analysis based on the SLR journal visualization results. AR and AT conduct a review and correction of the discussion section. BS and AR add a limitation section that contains the scope limitations of the SLR research. EA and MZ conduct a review and correction of the limitation section. BS draw conclusions based on the RQ, discussion results, and analysis. AR, AT, EA and MZ conduct a review and correction of the conclusion. BS compile the abstract section, which is a summary of all parts of the SLR. AR, AT, EA and MZ conduct a review and correction of the abstract section.

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Sulistio, B., Ramadhan, A., Abdurachman, E. et al. The utilization of machine learning on studying Hadith in Islam: A systematic literature review. Educ Inf Technol 29 , 5381–5419 (2024). https://doi.org/10.1007/s10639-023-12008-9

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Received : 15 February 2023

Accepted : 27 June 2023

Published : 17 July 2023

Issue Date : April 2024

DOI : https://doi.org/10.1007/s10639-023-12008-9

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