Using interval type-2 fuzzy logic to analyze Turkish emotion words

dc.authorscopusid57217452529
dc.authorscopusid8280935800
dc.authorscopusid7006442384
dc.authorscopusid11539478500
dc.contributor.authorCakmak, Ozan
dc.contributor.authorKazemzadeh, Abe
dc.contributor.authorYildirim, Serdar
dc.contributor.authorNarayanan, Shri
dc.date.accessioned2024-09-19T15:41:14Z
dc.date.available2024-09-19T15:41:14Z
dc.date.issued2012
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description2012 4th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012 -- 3 December 2012 through 6 December 2012 -- Hollywood, CA -- 95651en_US
dc.description.abstractThis paper describes a methodology that shows the feasibility of a fuzzy logic (FL) representation of Turkish emotion-related words. We analyzed 197 Turkish emotion words set through a web-based surveys that prompted users with emotional words and asked them to enter an interval valence, activation, and dominance emotion attributes using a double slider. Our previous experimental results indicated that there was a strong correlation between the emotions attributed to Turkish word roots and the Turkish sentences. In this paper, we extend our previous work and analyze Turkish emotion words by using an interval type-2 fuzzy logic. © 2012 APSIPA.en_US
dc.identifier.isbn978-061570050-2
dc.identifier.scopus2-s2.0-84874419136en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12483/14107
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartof2012 Conference Handbook - Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2012en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectData processingen_US
dc.subjectEmotional wordsen_US
dc.subjectInterval type-2 fuzzy logicen_US
dc.subjectStrong correlationen_US
dc.subjectTurkishsen_US
dc.subjectWeb-based surveysen_US
dc.subjectFuzzy logicen_US
dc.titleUsing interval type-2 fuzzy logic to analyze Turkish emotion wordsen_US
dc.typeConference Objecten_US

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