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Hadith Text Classification on Sanad Part Using Edge List

Hadith has two components consisting of sanad and the content parts. Most of the studies in hadith text classification focus on the content part named topical classification area. The sanad part, on the contrary, gains less attention in the text classification area. In this study, we design class...

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Main Authors:	Nursyahidah, Alias, Nurazzah, Abdul Rahman, Normaly Kamal, Ismail, Zulhimi, Mohamed Nor, Muhammad Nazir, Alias, Mohd Sham, Kamis
Format:	Proceeding
Language:	English
Published:	2023
Subjects:	H Social Sciences (General)
Online Access:	http://ir.unimas.my/id/eprint/41380/1/Hadith%20Text%20Classification%20on%20Sanad%20Part.pdf http://ir.unimas.my/id/eprint/41380/ https://link.springer.com/chapter/10.1007/978-981-19-4910-4_14
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id	my.unimas.ir.41380
record_format	eprints
spelling	my.unimas.ir.413802023-02-24T08:22:17Z http://ir.unimas.my/id/eprint/41380/ Hadith Text Classification on Sanad Part Using Edge List Nursyahidah, Alias Nurazzah, Abdul Rahman Normaly Kamal, Ismail Zulhimi, Mohamed Nor Muhammad Nazir, Alias Mohd Sham, Kamis H Social Sciences (General) Hadith has two components consisting of sanad and the content parts. Most of the studies in hadith text classification focus on the content part named topical classification area. The sanad part, on the contrary, gains less attention in the text classification area. In this study, we design classification rules to classify hadith text based on the sanad part using the edge list concept. The rule-based classification is designed by using 700 hadith texts as a training data set and 300 hadith texts for the testing data set. We evaluate the results by using precision and recall measurement. The precision value is 1.00 by developing the rule-based classification on knowledge from experts. In our study, the recall value was 0.11 because the chronological lists for hadith text in the training set did not represent all chronological lists in Shahih Bukhari hadith, which is more than 7000. In the future, this study can be extended to analyse the overall text classification from Shahih Bukhari. 2023 Proceeding NonPeerReviewed text en http://ir.unimas.my/id/eprint/41380/1/Hadith%20Text%20Classification%20on%20Sanad%20Part.pdf Nursyahidah, Alias and Nurazzah, Abdul Rahman and Normaly Kamal, Ismail and Zulhimi, Mohamed Nor and Muhammad Nazir, Alias and Mohd Sham, Kamis (2023) Hadith Text Classification on Sanad Part Using Edge List. In: International Conference On Science Technology & Social Sciences (ICSTSS), January 2023. https://link.springer.com/chapter/10.1007/978-981-19-4910-4_14
institution	Universiti Malaysia Sarawak
building	Centre for Academic Information Services (CAIS)
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Sarawak
content_source	UNIMAS Institutional Repository
url_provider	http://ir.unimas.my/
language	English
topic	H Social Sciences (General)
spellingShingle	H Social Sciences (General) Nursyahidah, Alias Nurazzah, Abdul Rahman Normaly Kamal, Ismail Zulhimi, Mohamed Nor Muhammad Nazir, Alias Mohd Sham, Kamis Hadith Text Classification on Sanad Part Using Edge List
description	Hadith has two components consisting of sanad and the content parts. Most of the studies in hadith text classification focus on the content part named topical classification area. The sanad part, on the contrary, gains less attention in the text classification area. In this study, we design classification rules to classify hadith text based on the sanad part using the edge list concept. The rule-based classification is designed by using 700 hadith texts as a training data set and 300 hadith texts for the testing data set. We evaluate the results by using precision and recall measurement. The precision value is 1.00 by developing the rule-based classification on knowledge from experts. In our study, the recall value was 0.11 because the chronological lists for hadith text in the training set did not represent all chronological lists in Shahih Bukhari hadith, which is more than 7000. In the future, this study can be extended to analyse the overall text classification from Shahih Bukhari.
format	Proceeding
author	Nursyahidah, Alias Nurazzah, Abdul Rahman Normaly Kamal, Ismail Zulhimi, Mohamed Nor Muhammad Nazir, Alias Mohd Sham, Kamis
author_facet	Nursyahidah, Alias Nurazzah, Abdul Rahman Normaly Kamal, Ismail Zulhimi, Mohamed Nor Muhammad Nazir, Alias Mohd Sham, Kamis
author_sort	Nursyahidah, Alias
title	Hadith Text Classification on Sanad Part Using Edge List
title_short	Hadith Text Classification on Sanad Part Using Edge List
title_full	Hadith Text Classification on Sanad Part Using Edge List
title_fullStr	Hadith Text Classification on Sanad Part Using Edge List
title_full_unstemmed	Hadith Text Classification on Sanad Part Using Edge List
title_sort	hadith text classification on sanad part using edge list
publishDate	2023
url	http://ir.unimas.my/id/eprint/41380/1/Hadith%20Text%20Classification%20on%20Sanad%20Part.pdf http://ir.unimas.my/id/eprint/41380/ https://link.springer.com/chapter/10.1007/978-981-19-4910-4_14
_version_	1758954033751523328
score	13.223943

Hadith Text Classification on Sanad Part Using Edge List

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