Skip to main content
SpringerLink
Log in

A novel classification to categorise original hadith detection techniques

  • Original Research
  • Published:
International Journal of Information Technology Aims and scope Submit manuscript

Abstract

Hadith is a set of Islamic byelaws based on the teachings in the holy Quran. Arabic natural language processing (ANLP) tools possess features, which are mainly used for explaining Qur'an verses. In the last few years, research work in identifying both fake and authentic hadith has drawn a great attention. As of late, there are numerous hadith whose legitimacy is questionable. Currently, there are efforts to make the hadith available in digital form and disseminate it on the web and social media. This paper discusses fake hadith detection techniques, such as knowledge driven, hybrid and data driven. It also highlights various hadith detection mechanisms, their challenges and methods for identifying fake hadith. The study presents a novel taxonomy/classification of hadith detection techniques. Our taxonomy is unique compared to others because all hadith components are categorized based on four layers which include authority, narrators, Ma’tn and Isnad and status.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

  1. Bilal K (2012) Muhadith: a cloud based distributed expert system for classification of Ahadith. In: International conference on frontiers of information technology, vol 2(3). pp 73–78. https://doi.org/10.1109/FIT.2012.22

  2. Hyder SI (2015) Towards a database oriented hadith research using relational, algorithmic and data-warehousing techniques. In: Proceedings ICASSP, IEEE international conference on acoustics, speech and signal processing, vol 3. pp 2–8

  3. Najeeb MM (2016) Arabic natural language processing laboratory serving Islamic sciences. IJACSA. https://doi.org/10.14569/IJACSA.2014.050316

    Article  Google Scholar 

  4. Najeeb MM, Sheikh AEI, Nababteh M (2011) A new rule ranking model for associative classification using a hybrid artificial intelligence technique. IEEE Access 2(11):231–235

  5. Aldhlan KA, Zeki AM, Zeki AM (2010) Datamining and Islamic knowledge exctraction: Alhadith as a knowledge. Proceeding 3rd Int. Conf. Inf. Commun. Technol. Moslem World 2010, p. H–21–H–25. doi: https://doi.org/10.1109/ICT4M.2010.5971934

  6. Yuslan M, Bakar A (2018) Multi-label topic classification of Hadith of Bukhari (Indonesian language translation) using information gain and backpropagation neural network. 2018 International Conference Asian Language Process, pp. 344–350

  7. Farghaly ALI (2009) Arabic natural language processing : challenges and solutions. 8(4): 1–22. https://doi.org/10.1145/1644879.1644881

  8. Thabtah F (2007) A review of associative classification mining. Knowl Eng Rev 22:37–65. https://doi.org/10.1017/S0269888907001026

    Article  Google Scholar 

  9. Najeeb M, Abdelkader A, Al-zghoul M, Osman A (2015) A lexicon for hadith science based on a corpus. Knowl Eng Rev 22(1):37–65

  10. Soudani N, Bounhas I, Elayeb B (2015) An LMF-based normalization approach of Arabic Islamic dictionaries for Arabic word sense disambiguation: application on hadith. Middle-East J Sci Res 13(2):196–202

  11. Zeki AM (2013) Novel mechanism to improve hadith classifier performance. 2012 Int. Conf. Adv. Comput. Sci. Appl. Technol., pp. 512–517. https://doi.org/10.1109/ACSAT.2012.93

  12. Saloot MA, Idris N, Mahmud R, Ja S, Gani A (2016) Hadith data mining and classification: a comparative analysis. Artif Intell Rev 46(1):113–128. https://doi.org/10.1007/s10462-016-9458-x

    Article  Google Scholar 

  13. Mourchid M (2016) Classification of hadiths using LVQ based on VSM considering words order. IJCA 148:25. https://doi.org/10.5120/ijca2016911077

    Article  Google Scholar 

  14. Ibrahim NK, Elmogtaba A, Ali B (2016) Isnad Al-hadith computational authentication: an analysis hierarchically. 2016 6th Int. Conf. Inf. Commun. Technol. Muslim World, pp. 344–348. doi: https://doi.org/10.1109/ICT4M.2016.075

  15. Juynboll PGHA, Afwadzi B (2011) Tentang Hadis Mutawatir. Int J Comput Sci Inform Technol 6(2):1336–1340

  16. Maha Al-Yahya LA, Al-Malak S (2016) Ontological lexicon enrichment: the Badea system for semi-automated extraction of antonymy relations from arabic language corpora. Malays J Comput Sci 29(1):56–73

    Article  Google Scholar 

  17. Najeeb MM (2014) Towards innovative system for Hadith Isnad processing. IJCTT 18(6):257–259. https://doi.org/10.14445/22312803/IJCTT-V18P154

    Article  Google Scholar 

  18. Ag M, Baru R, Ag M (2018) A criticism on G. H. A. Juynboll perspectives about Mutawatir Hadith. Int J Acad Res Bus Soc Sci 8(7):940–951. https://doi.org/10.6007/IJARBSS/v8-i7/4521

    Article  Google Scholar 

  19. Luthfi ET, Suryana N, Samad A, Basari H (2018) Digital hadith authentication: a literature review and analysis. Multi-Disciplinary Res J 4(4):71–83

  20. Juynboll GHA (2001) Appraisal of some technical terms in hadith science. Islam Law Soc 8:303–349

    Article  Google Scholar 

  21. Marie-sainte SL, Alalyani N, Alotaibi S, Ghouzali S, Abunadi I (2019) Arabic natural language processing and machine learning-based systems. IEEE Access 7:7011–7020. https://doi.org/10.1109/ACCESS.2018.2890076

    Article  Google Scholar 

  22. Shukur Z, Fabil N, Salim J, Noah SA, Teknologi F (2011) Visualization of the hadith chain of narrators. no. 1999. In: 6th International Conference on Information and Communication Technology for The Muslim World (ICT4M). vol. 2, pp 344–348

  23. Baraka RS, Dalloul YM (2014) Building hadith ontology to support the authenticity of Isnad. Int J Islam Appl Comput Sci Technol 2(1):25–39

    Google Scholar 

  24. Dickson E (2002) Ibn al-̇Ṣalāḥ al-Shahrazūrī and the Isnād. J Am Orient Soc. 122(3): 481–505. http://www.jstor.org/stable/3087517

  25. Damanhuri P (2016) Reconstruction of Matan Hadith understanding about women position in household. Jurnal “Al-Qalam” 6(3):472–477. https://doi.org/10.13140/RG.2.1.1910.2329.

  26. G. Schoeler (2002) Character and authenticity of the Muslim tradition on the Life of Muhammad. Arabica 49(3):360–366 https://www.jstor.org/stable/4057655

  27. Hutto CJ, Gilbert E (2014) An anomaly-based hadith detection approach for identifying stealthy hadith. In: ICCAIE 2015—2015 IEEE conference on computer applications and industrial electronics, Iccaie, pp 564–569. https://doi.org/10.1109/ICCAIE.2015.6162198

  28. Shaalan K (2014) Rule-based approach in Arabic natural language processing. Int J Inf Commun Technol 3(3)

  29. Hamed SK, Juzaiddin M, Aziz A (2016) A question answering system on Holy Quran translation based on question expansion technique and neural network classification. J Comput Sci. https://doi.org/10.3844/jcssp.2016.169.177

    Article  Google Scholar 

  30. Salah RE, Qadri L (2017) Arabic rule-based named entity recognition systems: progress and challenges. Int J Adv Sci Eng Inf Technol 7(3):815–821

    Article  Google Scholar 

  31. Oudah MAI, Shaalan K (2016) Language engineering: NERA 20: improving coverage and performance of rule-based named entity recognition for Arabic. Nat Lang Eng 23:441–472. https://doi.org/10.1017/S1351324916000097

    Article  Google Scholar 

  32. Rahman NA, Alias N (2015) An identification of authentic narrator’s name features in Malay Hadith texts. 2015 IEEE Conf. Open Syst., pp. 79–84. https://doi.org/10.1109/ICOS.2015.7377282

  33. Deraman F, Awang A, Rahman A, Suliaman I (2013) Establishing the Institute of Hadith (Dar Al-Hadith) in Malaysia: a preliminary study. 13(2): 196–202. https://doi.org/10.5829/idosi.mejsr.2013.13.2.1764

  34. Burge SR (2016) Myth, meaning and the order of words: reading hadith collections with Northrop Frye and the development of compilation criticism. Islam Christian Muslin Relat 27:213–228. https://doi.org/10.1080/09596410.2016.1150041

    Article  Google Scholar 

  35. Fawzi R, Fatwa F, Satria R, Mujahid I (2018) Elucidation and criticism on the Hadith of Jihad. 307(SoRes 2018). Studia Islamica 99(12):75–90

  36. Mavani H (201) Tension between the Qur’an and the Hadith: the case of offensive Jihad. Commun Comput Inform Sci 9(2):7–19

  37. Pari F (2018) Contextuality vs universality of the hadith: methodological problem. Adv Soc Sci Educ Humanit Res 137(2017):100–108

    Google Scholar 

  38. Najiyah I, Susanti S, Riana D, Wahyudi M Hadith degree classification for Shahih Hadith identification web based. In: IEEE/ACS 14th International Conference on Computer Systems and Applications, vol 4. pp 959–965

  39. Mohamad S et al (2012) Application of Qira ’ at Mudrajah in the issuance and practice of Islamic Fiqh rulings. J QurʾĀn and ḤadĪth Stud 15(2017):48–72

  40. Ulumul J, Dhoif H, Hanifah A, Pendahuluan A (2018) Kehujjahan hadis daif dalam permasalahan hukum menurut pendapat abu hanifah. J Islamic L Culture 1(4):29–81

  41. Salah RE, Qadri L (2017) A comparative review of machine learning for Arabic named entity recognition. Int J Adv Sci Eng Inf Technol. https://doi.org/10.18517/ijaseit.7.2.1810

    Article  Google Scholar 

  42. Ibrahim NK, Kartiwi M (2016) Frameworks for a computational Isnad authentication and mechanism development. Malaysian J Syariah Law 8(2):11–21. https://doi.org/10.1109/ICT4M.2016.36

  43. Ponnambalam GRSG (2016) An efficient trust estimation model for multi-agent systems using temporal difference learning. Neural Comput Appl. https://doi.org/10.1007/s00521-016-2354-0

    Article  Google Scholar 

  44. Darwish K (2013) Named entity recognition using cross-lingual resources: Arabic as an example. Jurnal “Al-Qalam” 17(4):83–92

  45. Zirikly A, Diab M (2015) Named entity recognition for Arabic social media. Malaysian J Islamic Stud 8(7):940–951

  46. Benajiba Y, Rosso P (2007) Arabic named entity recognition using conditional random fields. Jurnal Studi Ilmu-Ilmu Al-Qur‟an dan Hadis 12(1):325–351

  47. Faidi K, Ayed R, Bounhas I, Elayeb B (2015) Comparing Arabic NLP tools for Hadith classification. J Am Orient Soc 122(3):481–505

  48. Al-kabi MN, Wahsheh HA, Alsmadi IM (2014) A topical classification of hadith Arabic text a topical classification of hadith Arabic text. Int Multi J 4(2):239–256

  49. Hakak S, Kamsin A, Veri J, Ritonga R (2018) A framework for authentication of digital Quran. In: Information systems design and intelligent applications, vol. 5. Springer, Singapore

  50. Mahmood A (2018) A multilingual datasets repository of the hadith content. Int J Adv Comput Sci Appl. https://doi.org/10.14569/IJACSA.2018.090224

    Article  Google Scholar 

  51. Bidhendi MA, Minaei-bidgoli B, Jouzi H (2011) Extracting person names from ancient Islamic Arabic texts. Stud Soc Sci Humanit 1(3):62–73

  52. Alqurneh A, Mustapha A, Azrifah M, Murad A (2014) Stylometric model for detecting oath expressions: a case study for Quranic texts. Digit Scholarsh Humanit 31:1–20. https://doi.org/10.1093/llc/fqu038

    Article  Google Scholar 

  53. Siddiqui MA, Saleh ME, Bagais AA (2014) Extraction and visualization of the chain of narrators from hadiths using named entity recognition and classification extraction and visualization of the chain of narrators from hadiths using named entity recognition and classification. no. April. Islam and Christian–Muslim Relations, vol 6410. pp 0–16

  54. Siddiqui MA, Saleh ME, Bagais AA (2012) Extraction and visualization of the chain of narrators from hadiths using named entity recognition and classification. Comput Hum Behav J 307(2018):279–283

  55. Kawther Aldhaln HA, Zeki A (2012) Improving knowledge extraction of hadith classifier using decision tree algorithm. J Shi‘a Islamic Stud IV(4):397–415

  56. Harrag F, Al-salman AMS (2011) Stemming as a feature reduction technique for Arabic text categorization. 2011 10th Int. Symp. Program. Syst., pp 128–133. https://doi.org/10.1109/ISPS.2011.5898874

  57. Rozi NF, Entin Martiana MK, Nur Rosyid SKM (2008) Identifikasi Jenis Hadits Menggunakan Beberapa Kombinasi Metode Learning. In: IEEE International Conference on Software Engineering and Service Science (ICSESS), vol 5 pp 10–16

  58. Kamsin A et al (2015) Developing the novel Quran and hadith authentication system. J Comput Commun. https://doi.org/10.1109/ICT4M.2014.7020640

    Article  Google Scholar 

  59. Assessment of the quality of hadith information on the internet. Jurnal Ulumul Syar'i 7(2):2–27

  60. Jbara K (2010) Knowledge discovery in Al-Hadith using text classification algorithm. Jurnal Studi Ilmu-Ilmu al-Qur’an dan Hadis 16(1):35–142

  61. Neamah N, Saad S (2017) Question answering system supporting vector. Advances in Social Science, Education and Humanities Research (ASSEHR), vol 137. pp 353–358

  62. Alabdullatif A, Shahzad B, Alwagait E (2016) Classification of Arabic Twitter users: a study based on user behaviour and interests. Mobile Inf Syst 2016:1–11

    Article  Google Scholar 

  63. Ghazizadeh M, Zahedi MH, Kahani M, Bidgoli BM (2008) Fuzzy expert system in determining hadith 1 validity. Advances in computer and information sciences and engineering. Springer, Dordrecht, pp 354–359

    Chapter  Google Scholar 

  64. Alkhatib M, Monem AA, Shaalan K (2017) A rich Arabic WordNet resource for Al-Hadith Al-Shareef . Procedia Comput Sci 117:101–110. https://doi.org/10.1016/j.procs.2017.10.098

    Article  Google Scholar 

  65. Musyafiq A (2015) The use of Sirah for Hadith understanding: an effort to support religious harmony. Int J Sci Res 73(4):2–19

  66. Manhaj A, Matan N, Muhammad S, Understanding C ﺎﻴﺴﻴﻧوﺪﻧ ﻩﺮﺛأو ﱄاﺰﻐﻟا ﺪﻤﳏ ﺪﻨﻋ ﱳﳌا ﺪﻘﻧ ﺞﻬﻨﻣ يﻮﺒﻨﻟا ﺚﻳﺪﳊا ﰲ ﺔﻳﺮﺼﻋ ﺔﻴﻠﻴﻠﲢ ﺔﺳارد. Stud Soc Sci Human 1(3):90–100

  67. Al F et al (2017) Penggunaan Hadis Daif Dalam Fatwa Mengenai Wasiat Di Malaysia Serta Langkah Penyelesaiannya. J Asian Sci Res 4(11):690–703

  68. Kamsin A, Gani A, Suliaman I, Jaafar S, Qalid A (2015) Program for developing the novel Quran and hadith authentication system. Procedia Computer Science, vol. 117. pp 101–110

  69. Qadir A, Usman U, Mustaqim M (2017) Abdul Halim Hasan and his contributions in Quranic exegesis in the Malay World. Int J Acad Res Bus Soc Sci 7(8):469–477

    Google Scholar 

  70. Rozaini A, Hasan A, Rahman A, Ghani A, Jemali M (2018) Learning concepts and educational development of Hafazan Al-Quran in the early Islamic century. Int J Acad Res Bus Soc Sci. https://doi.org/10.6007/IJARBSS/v7-i10/3417

    Article  Google Scholar 

  71. Materu RD (2011) Ruslan Daeng Materu. Al-Qalam 17:82

    Article  Google Scholar 

  72. Baru R, Hadzrullathfi S, Omar S, Ibrahim B (2017) Identifying false hadith guidelines. Artif Intell Rev 117(2017):113–128

  73. Abdal-haqq I (2002) An overview of its origin and elements, Int J Islamic Middle Eastern Finan Manage 12(1):130–151

  74. Biltawi M, Etaiwi W, Tedmori S, Hudaib A, Awajan A, Jordan A (2016) Sentiment classification techniques for Arabic language: a survey. J Inf Knowl Manage 6(2):2–12

  75. Balgasem SS, Zakaria LQ (2017) A hybrid method of rule-based approach and statistical measures for recognizing narrators name in hadith. Int J Acad Res Bus Soc Sci 6(10):2–10

  76. Awliya M (2015) Presented by http://www.alhassanain.com and http://www.islamicblessings.com

  77. Am L (2014) Earliest hadith sciences texts written in Malay archipelago. MJSS 5(15):264–265. https://doi.org/10.5901/mjss.2014.v5n15p550

    Article  Google Scholar 

  78. Majid LA, Husain H, Ibrahim M, Dakir J (2012) Article hadith written in early Islam in Malay Region 1. Indonesian J Islam Muslim Soc 5(2):283–304

  79. Ritter H (2019) Muslim mystics strife with God Oriens 5(1): 1–15. https://www.jstor.org/stable/1579317

  80. Hilal I (2015) Studies in usul ul fiqh. J Hadith Stud 2(1):39–50

  81. Yorulmaz K, Geli M, Kabul M (2017) The comparison of the Mauquf narratives conveyed via Ibn Mas'ûd in al-Jâmi of Ma'mer B. Al-Râshed with Kutub Al-Sittah. MATEC Web of Conferences, vol. 00066 pp 1–9

  82. Batyrzhan M, Kulzhanova BR, Abzhalov SU, Mukhitdinov RS (2014) Significance of the hadith of the Prophet Muhammad in Kazakh proverbs and sayings. Procedia Soc Behav Sci 116(701):4899–4904. https://doi.org/10.1016/j.sbspro.2014.01.1046

    Article  Google Scholar 

  83. Nuryansah M (2018) Israiliat contribution in contemporary exegesis: (the effort to establish Israiliat which is silenced ‘Mauquf’ as a source of an interpretation). 137(Icqhs 2017). International Conference on Information and Communication Technology for The Muslim World, vol. 6 pp 154–159

  84. Hanapi MS, Mohd W, Firdaus K, Khairuldin W (2017) Applying the thematic hadith method in research related to Islam. Int J Acad Res Bus Soc Sci 7(12):576–586. https://doi.org/10.6007/IJARBSS/v7-i12/3639

    Article  Google Scholar 

  85. Fudhaili A (2018) The Dominance of the Sanad rules (Hadith Narrator) compared by the Matan (Hadith Material) in the acceptance of Hadith. Assessment ethics code to the narrator of Hadith. 137(Icqhs 2017). Int J Islamic Appl Comput Sci Technol, vol 3. pp 10–18

  86. Naji Al- Kabi M et al (2005) Al-Hadith text classifier. J Appl Sci 5:584–587. https://doi.org/10.3923/jas.2005.584.587

    Article  Google Scholar 

  87. Hashmi TM Fundamentals of H ad ī th Interpretation An English Translation of Mab ā d ī Tadabbur-e H ̣ ad ī th. IEEE Access, vol. 8 pp 1–7

  88. Hallaq W, Conrad L, Motzki H (1999) The authenticity of prophetic hadith: a pseudo-problem. Stud Islam. https://doi.org/10.2307/1596086

    Article  Google Scholar 

  89. Hassaine A, Safi Z, Otaibi J, Jaoua A (2017) Text categorization using weighted hyper rectangular keyword extraction. J Islamic L Culture 1(4):29–81. https://doi.org/10.1007/s41870-021-00649-3

  90. Alias N, Rahman NA (2016) Pengkelasan Teks Hadis dalam Kitab Shahih Bukhari berdasarkan kepada Perawi dengan menggunakan Teori Graf. no. March. In: International Conference on Information and Communication Technology for The Muslim World (ICT4M), vol 1. pp 344–348

  91. Tahir US (2017) The concept of Jihad in Islamic texts: an analytical study of violence between mainstream scholars and extremists. Al Bayan 15(48–72):2017. https://doi.org/10.1163/22321969-12340045

    Article  Google Scholar 

  92. Shuhaimi M, Haji B, Solihin SM (2012) Islam and media. Asian Soc Sci. 8(7):263–269. https://doi.org/10.5539/ass.v8n7p263

    Article  Google Scholar 

  93. Azeez A, Ishola AS (2018) The farewell address of Prophet Muhammad: a universal declaration of human rights. Proceedings of the Eighth International AAAI Conference on Weblogs and Social Media, vol 4. pp 216–225

  94. Mohd T, Tuan S, Baru R, Hassan AF, Zahid A (2014) The Matan and Sanad criticisms in evaluating the hadith. Asian Soc Sci. https://doi.org/10.5539/ass.v10n21p152

    Article  Google Scholar 

  95. Sagir A, Rasulullah H (2016) Hadis-Hadis Dalam Kitab HidĀYah Al-SĀLikĪN. J Qurdis 16(1):35–142

    Article  Google Scholar 

  96. Zulkipli SN, Yaacob Z, Anas N, Syukri M, Noor M, Tapah K (2017) Takhrij al-Hadith via mobile apps: study of 9 Imam Encyclopedia, Kutub Tis ‘ ah and Mawsu ‘ ah al -Hadith al- Nabawi al-Syarif. Int J Acad Res Bus Soc Sci. https://doi.org/10.6007/IJARBSS/v7-i6/3351

    Article  Google Scholar 

  97. Suliaman I (2018) The convenience of Takhrij Al-Hadith through ICT apps: an exploratory analysis on selected hadith website. Sci Comput Programm. https://doi.org/10.1016/j.scico.2013.11.025

    Article  Google Scholar 

  98. Dan SAHLA, Yahya MA (2016) Sumbangan Ahl Al-Hadith Dan Peranannya Dalam Membangun Ketamadunan Islam. no. December, pp 1–6. International Workshop on Imaging Systems and Techniques, vol 6. pp 2–9

  99. Baru R, Hadzrullathfi S, Omar S, Yusof NH, Rahman TA (2014) The credibility of the Al - Sunnah as a source of reference and guidance for Muslims. 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA), vol 10. pp 666–671

  100. Ushuluddin F, Sunan UIN, Surabaya A, Yani JA, Surabaya W, Java E (2014) Critizm rationale of A. Hassan Bangil in validity on hadith. 2016 7th International Conference on Information and Communication Systems (ICICS), vol 6. pp 339–346

  101. Kafi MBA, Ali MAM (2018) Status Hadith dalam Risalah Tarekat Naqshabandiyyah Karya Sheikh Yahya. Proceedings of the Design, Automation and Test in Europe Conference and Exhibition, vol 73. pp 34–45

  102. Arshi M, Norisma S, Rohana I, Ja S, Abdullah T (2016) Hadith data mining and classification: a comparative analysis. Artif Intell Rev. https://doi.org/10.1007/s10462-016-9458-x

    Article  Google Scholar 

  103. Selim M (2019) The effectiveness of Qard-al-Hasan (interest free loan) as a tool of monetary policy. Int J Islam Middle East Financ Manag. https://doi.org/10.1108/IMEFM-07-2017-0187

    Article  Google Scholar 

  104. Rahifah S, Najib M, Rahman NA, Ismail NK (2017) Comparative study of machine learning approach on Malay translated hadith text classification based on Sanad. MATEC Web Conf. 135:1–9. https://doi.org/10.1051/matecconf/201713500066

    Article  Google Scholar 

  105. Kwuida L (2010) Neural Computing and Applications. 3(6):15–28

  106. Al-mahmoud H, Al-razgan M (2015) Arabic text mining: a systematic review of the. 2015 Int. Conf. Cloud Comput. 1–7. https://doi.org/10.1109/CLOUDCOMP.2015.7149632

  107. Saad S, Noah SAM, Salim N, Zainal H (2013) Rules and natural language pattern in extracting Quranic knowledge. 2013 Taibah Univ. Int. Conf. Adv. Inf. Technol. Holy Quran its Sci., pp 381–386. https://doi.org/10.1109/NOORIC.2013.80

  108. Harrag F (2008) Vector space model for Arabic information retrieval—application to a d i t h Aboubekeur Hamdi-Cherif Eyas El-Qawasmeh. Comput Hum Behav J 4(11):90–103

  109. Helmy T (2015) Intelligent agent for information extraction from Arabic text without machine translation intelligent agent for information extraction from Arabic text without machine translation. no. January 2010. Int J Adv Comput Sci Appl 9(2):2–9

  110. Sayoud H (2014) Automatic authorship classification of two ancient books: Quran and Hadith. 2014 IEEE/ACS 11th Int. Conf. Comput. Syst. Appl., pp 666–671, 2014. https://doi.org/10.1109/AICCSA.2014.7073263

  111. Elmasry MA, Soliman T, Hedar A (2014) Council for innovative research. IJCT 12(5):3470–3478. https://doi.org/10.24297/ijct.v12i5.2917

    Article  Google Scholar 

  112. Al-thubaity AO (2014) A 700M+ Arabic corpus: KACST Arabic corpus design and construction. Lang Resour Eval. https://doi.org/10.1007/s10579-014-9284-1

    Article  Google Scholar 

  113. Mahmood A, Khan HU, Khan W Query based information retrieval and knowledge extraction using Hadith datasets. Artif Intell Rev 6(4):10–21

  114. Nguyen TH, Shirai K (2015) Topic modeling based sentiment analysis on social media for stock market prediction. Proc. 53rd Annu. Meet. Assoc. Comput. Linguist. 7th Int. Jt. Conf. Nat. Lang. Process. Volume 1 Long Pap., pp 1354–1364. https://doi.org/10.1016/j.eswa.2015.07.052

  115. A. Abdul-hamid A, Darwish K (2010) Simplified feature set for arabic named entity recognition. In: IEEE Communications Magazine, vol 10. pp 16–31

  116. Agić Ž, Bekavac B (2003) Domain dependence of statistical named entity recognition and classification in Croatian texts. Int J Islamic Appl Comput Scie Technol 3(1):8–17

  117. Ibrahim M (2014) A new model for trojan detection using machine learning inspired by Al-Furqan Verse. ULUM Islam J 13:129–143

    Article  Google Scholar 

  118. Ezz MM, City N Advisory system for student enrollment in university based on variety of machine learning algorithms. IEEE International Conference on Machine Learning and Applications, vol 7. pp 1310–1315

  119. Al Faraby S, Riviera E, Jasin R (2018) Classification of hadith into positive suggestion, negative suggestion, and information. J Phys Conf Ser. https://doi.org/10.1088/1742-6596/971/1/012046

    Article  Google Scholar 

  120. Hassaine A, Safi Z, Jaoua A (2016) Authenticity detection as a binary text categorization problem: application to hadith authentication. 2016 IEEE/ACS 13th Int. Conf. Comput. Syst. Appl., pp 1–7. https://doi.org/10.1109/AICCSA.2016.7945764.

  121. Hassan S (2018) Introduction to the science of hadith classification. Int J Adv Comput Res 3(1):10–19. https://doi.org/10.5539/ass.v10n21p152

    Article  Google Scholar 

  122. Basharat A Semantic hadith: leveraging linked data opportunities for Islamic knowledge. Comput Intell Neurosci 3(1):19–33

Download references

Acknowledgement

This work is supported by the University of Malaya Research Grant (UMRG) under Project RP043A-17HNE.

Author information

Authors and Affiliations

  1. Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

    Alaba Ayotunde Fadele, Amirrudin Kamsin & Habiba Hamid

  2. Academy of Islamic Studies, University of Malaya, Kuala Lumpur, Malaysia

    Khadher Ahmad

  3. Department of Computer Science, Federal College of Education, Zaria, Nigeria

    Alaba Ayotunde Fadele

Authors
  1. Alaba Ayotunde Fadele
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Amirrudin Kamsin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Khadher Ahmad
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Habiba Hamid
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Alaba Ayotunde Fadele or Amirrudin Kamsin.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fadele, A.A., Kamsin, A., Ahmad, K. et al. A novel classification to categorise original hadith detection techniques. Int. j. inf. tecnol. 14, 2361–2375 (2022). https://doi.org/10.1007/s41870-021-00649-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41870-021-00649-3

Keywords

Search

Navigation