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Please use this identifier to cite or link to this item: https://research.matf.bg.ac.rs/handle/123456789/2727
DC FieldValueLanguage
dc.contributor.authorGraovac, Jelenaen_US
dc.date.accessioned2025-10-10T12:30:23Z-
dc.date.available2025-10-10T12:30:23Z-
dc.date.issued2012-
dc.identifier.urihttps://research.matf.bg.ac.rs/handle/123456789/2727-
dc.description.abstractThis paper presents the results of classifying Serbian text documents using the byte-level n-gram based frequency statistics technique, employing four different dissimilarity measures. Results show that the byte-level n-grams text categorization, although very simple and language independent,achieves very good accuracy.en_US
dc.language.isoenen_US
dc.publisherCEURen_US
dc.relation.ispartofCEUR Workshop Proceedingsen_US
dc.titleSerbian text categorization using byte level n-gramsen_US
dc.typeConference Objecten_US
dc.relation.conferenceBalkan Conference in Informatics BCI (5 ; 2012 ; Novi Sad)en_US
dc.relation.publicationLocal Proceedings of the Fifth Balkan Conference in Informaticsen_US
dc.identifier.urlhttp://bci2012.bci-conferences.org/?clobl-
dc.identifier.urlhttps://ceur-ws.org/Vol-920/p93-graovac.pdf-
dc.contributor.affiliationInformatics and Computer Scienceen_US
dc.relation.issn1613-0073en_US
dc.description.rankM33en_US
dc.relation.firstpage93en_US
dc.relation.lastpage96en_US
dc.relation.volume920en_US
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.openairetypeConference Object-
crisitem.author.deptInformatics and Computer Science-
crisitem.author.orcid0000-0002-9323-4695-
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