Publication:
Tagging Narrator's Names In Hadith Text

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dc.contributor.authorRahman, NAen_US
dc.contributor.authorIsmail, NKen_US
dc.contributor.authorNor, ZMen_US
dc.contributor.authorAlias, MNen_US
dc.contributor.authorKamis, MSen_US
dc.contributor.authorAlias, Nen_US
dc.date.accessioned2024-05-29T03:27:58Z
dc.date.available2024-05-29T03:27:58Z
dc.date.issued2017
dc.description.abstractText document expresses enormous sort of information but it lacks the imposed structure of a traditional database. Unstructured data, particularly free running text data has to be transformed into a structured data. Extracting information from text is part of NLP process. The implementation of the NER algorithm for NLP is normally influenced by the domain of the studies. Besides, there is no existing system that is designed to detect the types of named entity in hadith text; develop POS tags and rule based extraction for narrator's name in Hadith Text in the Malay language. The POS tags were developed from 1000 hadith texts. The POS tags were created involving a total of 256 words which is part of narrator's names. The rule based was developed to determine five types of narrator's chain. Further research will determine the relationship between each narrator and the construction of narration's chain.
dc.identifier.doi10.4314/jfas.v9i5s.21
dc.identifier.epage309
dc.identifier.issn1112-9867
dc.identifier.scopusWOS:000414751200021
dc.identifier.spage295
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/12252
dc.identifier.volume9
dc.languageEnglish
dc.language.isoen_USen_US
dc.publisherUniv El Oued, Fac Science & Technologyen_US
dc.relation.ispartofJournal Of Fundamental And Applied Sciences
dc.sourceWeb Of Science (ISI)
dc.subjecttaggingen_US
dc.subjecthadith texten_US
dc.subjectnameen_US
dc.titleTagging Narrator's Names In Hadith Texten_US
dc.title.alternativeJ. Fundam. Appl. Sci.en_US
dc.typeArticleen_US
dspace.entity.typePublication

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