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
收藏
页数:16
相关论文
共 50 条
  • [11] Text Mining, Clustering and Sentiment analysis: A systematic Literature Review
    Hoti, Mergim H.
    Ajdari, Jaumin
    Hamiti, Mentor
    Zenuni, Xhemal
    2022 11TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING (MECO), 2022, : 302 - 307
  • [12] Text mining the biomedical literature
    Pertsemlidis, A
    BIOPHYSICAL JOURNAL, 2002, 82 (01) : 168A - 168A
  • [13] Text-mining Techniques and Tools for Systematic Literature Reviews: A Systematic Literature Review
    Feng, Luyi
    Chiam, Yin Kia
    Lo, Sin Kuang
    2017 24TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2017), 2017, : 41 - 50
  • [14] A Review on Text Mining
    Zhang, Yu
    Chen, Mengdong
    Liu, Lianzhong
    PROCEEDINGS OF 2015 6TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE, 2015, : 681 - 685
  • [15] Text mining applied to distance higher education: A systematic literature review
    Takaki, Patricia
    Dutra, Moises Lima
    EDUCATION AND INFORMATION TECHNOLOGIES, 2024, 29 (09) : 10851 - 10878
  • [16] Service Quality Evaluation Using Text Mining: A Systematic Literature Review
    Vencovsky, Filip
    PERSPECTIVES IN BUSINESS INFORMATICS RESEARCH, BIR 2020, 2020, 398 : 159 - 173
  • [17] Text mining in a literature review of urothelial cancer using topic model
    Lin, Hsuan-Jen
    Sheu, Phillip C-Y
    Tsai, Jeffrey J. P.
    Wang, Charles C. N.
    Chou, Che-Yi
    BMC CANCER, 2020, 20 (01)
  • [18] Text mining in a literature review of urothelial cancer using topic model
    Hsuan-Jen Lin
    Phillip C.-Y. Sheu
    Jeffrey J. P. Tsai
    Charles C. N. Wang
    Che-Yi Chou
    BMC Cancer, 20
  • [19] Text Mining for Big Data Analysis in Financial Sector: A Literature Review
    Bach, Mirjana Pejic
    Krstic, Zivko
    Seljan, Sanja
    Turulja, Lejla
    SUSTAINABILITY, 2019, 11 (05)
  • [20] Continued Supporting a Systematic Literature Review by Applying Text Mining Methods
    Georgieva-Trifonova, Tsvetanka
    2022 21ST INTERNATIONAL SYMPOSIUM INFOTEH-JAHORINA (INFOTEH), 2022,