Graph-based text representation for Malay translated hadith text

Nursyahidah Alias, Nurazzah Abd Rahman, Normaly Kamal Ismail, Zulhilmi Mohamed Nor, Muhammad Nazir Alias

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Text representation plays an important role in text classification. Commonly, text representation uses the term frequency technique. Hadith texts consist of two parts; they are the chain of narrators and the content. The term frequency technique is usually used for the content text representation. This research explains the text representation for chain of narrators in hadith texts. The chain of narrators was depicted using graph technique as text representation. A total of 18 hadith texts were used in representing chain of narrators as text representation. The narrator's name and relationships between narrators extracted from hadith texts which produced 82 narrator names and 85 connections between narrators. The 82 names were used as nodes, while the 85 connections as the relationships. The text representation graph subsequently used in the hadith text classification research based on chain of narrators.

Original languageEnglish
Title of host publication2016 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages60-66
Number of pages7
ISBN (Electronic)9781509029549
DOIs
Publication statusPublished - 4 Jan 2017
Event3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016 - Malacca, Malaysia
Duration: 23 Aug 201624 Aug 2016

Other

Other3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016
CountryMalaysia
CityMalacca
Period23/8/1624/8/16

Fingerprint

Graph
Text classification
Node

Keywords

  • hadith text
  • narrator
  • text representation

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

Cite this

Alias, N., Rahman, N. A., Ismail, N. K., Nor, Z. M., & Alias, M. N. (2017). Graph-based text representation for Malay translated hadith text. In 2016 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016 - Conference Proceedings (pp. 60-66). [7806336] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFRKM.2016.7806336

Graph-based text representation for Malay translated hadith text. / Alias, Nursyahidah; Rahman, Nurazzah Abd; Ismail, Normaly Kamal; Nor, Zulhilmi Mohamed; Alias, Muhammad Nazir.

2016 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 60-66 7806336.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Alias, N, Rahman, NA, Ismail, NK, Nor, ZM & Alias, MN 2017, Graph-based text representation for Malay translated hadith text. in 2016 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016 - Conference Proceedings., 7806336, Institute of Electrical and Electronics Engineers Inc., pp. 60-66, 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016, Malacca, Malaysia, 23/8/16. https://doi.org/10.1109/INFRKM.2016.7806336
Alias N, Rahman NA, Ismail NK, Nor ZM, Alias MN. Graph-based text representation for Malay translated hadith text. In 2016 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 60-66. 7806336 https://doi.org/10.1109/INFRKM.2016.7806336
Alias, Nursyahidah ; Rahman, Nurazzah Abd ; Ismail, Normaly Kamal ; Nor, Zulhilmi Mohamed ; Alias, Muhammad Nazir. / Graph-based text representation for Malay translated hadith text. 2016 3rd International Conference on Information Retrieval and Knowledge Management, CAMP 2016 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 60-66
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