Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad

Syuhairah Rahifah Mohammad Najib, Nurazzah Abd Rahman, Normaly Kamal Ismail, Nursyahidah Alias, Zulhilmi Mohamed Nor, Muhammad Nazir Alias

Research output: Contribution to journalArticle

Abstract

Sanad is one of important part used to determine the authentication of hadith. However, very little research work has been found on classification of Malay translated Hadith based on sanad. There are some researches done using machine learning approach on hadith classification based on sanad but using different objective with different language. This research is to see how Machine Learning techniques are used to classify Malay translated Hadith document based on sanad. In this paper, SVM, NB and k-NN are used to identify and evaluate the performance of Malay translated hadith based on sanad. The performances are evaluated based on standard performance metrics used in text classification which is accuracy and response time. The results show that SVM has the highest accuracy and k-NN has the best response time (time taken in process for classification data) compare to other classifier. In future, we plan to extend this paper with the analysis on interclass similarity and also test on larger dataset.

Original languageEnglish
Article number00066
JournalMATEC Web of Conferences
Volume135
DOIs
Publication statusPublished - 20 Nov 2017

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Learning systems
Authentication
Classifiers

ASJC Scopus subject areas

  • Chemistry(all)
  • Materials Science(all)
  • Engineering(all)

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Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad. / Mohammad Najib, Syuhairah Rahifah; Abd Rahman, Nurazzah; Kamal Ismail, Normaly; Alias, Nursyahidah; Mohamed Nor, Zulhilmi; Alias, Muhammad Nazir.

In: MATEC Web of Conferences, Vol. 135, 00066, 20.11.2017.

Research output: Contribution to journalArticle

Mohammad Najib, Syuhairah Rahifah ; Abd Rahman, Nurazzah ; Kamal Ismail, Normaly ; Alias, Nursyahidah ; Mohamed Nor, Zulhilmi ; Alias, Muhammad Nazir. / Comparative Study of Machine Learning Approach on Malay Translated Hadith Text Classification based on Sanad. In: MATEC Web of Conferences. 2017 ; Vol. 135.
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