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dc.contributor.authorWijaya, Marvin Chandra
dc.date.accessioned2021-08-10T11:28:32Z
dc.date.available2021-08-10T11:28:32Z
dc.date.issued2020-12-21cs
dc.identifier.citationMendel. 2020 vol. 26, č. 2, s. 23-28. ISSN 1803-3814cs
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/200929
dc.description.abstractMalay Language and Indonesian Language are two closely related languages, sharing a lot in common in the meanings of words and grammar. Classifying the two languages automatically using a tool is a challenge because the two languages are very similar. The classification method that is widely used today is the Naive Bayesian method. This method needs to be implemented in a particular way to increase the level of classification accuracy. In this study, a new method was used, by using a training set in the form of words and phrases instead of just using a training set in the form of words only. With this method, the level of classification accuracy of the two languages is increased.en
dc.formattextcs
dc.format.extent23-28cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/116cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectMalayen
dc.subjectIndonesianen
dc.subjectLanguageen
dc.subjectNaive Bayesianen
dc.subjectClassificationen
dc.titleThe Classification of Documents in Malay and Indonesian Using the Naive Bayesian Method Uses Words and Phrases as a Training Seten
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
dc.coverage.issue2cs
dc.coverage.volume26cs
dc.identifier.doi10.13164/mendel.2020.2.023en
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license
Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International license