Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/4264
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dc.contributor.authorAçıkalın, Utku Umur-
dc.contributor.authorBardak, Benan-
dc.contributor.authorKutlu, Mücahid-
dc.date.accessioned2021-04-27T13:04:11Z-
dc.date.available2021-04-27T13:04:11Z-
dc.date.issued2020-09
dc.identifier.citationAcikalin, U. U., Bardak, B., & Kutlu, M. (2020, October). Turkish Sentiment Analysis Using BERT. In 2020 28th Signal Processing and Communications Applications Conference (SIU) (pp. 1-4). IEEE.en_US
dc.identifier.isbn978-172817206-4
dc.identifier.urihttps://hdl.handle.net/20.500.11851/4264-
dc.identifier.urihttps://ieeexplore.ieee.org/document/9302492-
dc.description.abstractWhile sentiment analysis is a popular research area, most of the research has been conducted for English and the number of studies for Turkish are rather limited. Limited resources for Turkish natural language processing (NLP) is one of the major challenges for Turkish NLP research. In order to overcome these limitations, we propose two approaches for Turkish sentiment analysis: 1) fine tuning multilingual model of BERT 2) using main model of BERT after machine translation of Turkish texts into English. We conducted experiments on Turkish movie and hotel review datasets where each review is labeled either positive or negative. Our methods achieve high accuracy scores such that in the movie dataset, our BERT models outperform existing methods.en_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2021 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedingsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBERTen_US
dc.subjectTurkish Sentiment Analysisen_US
dc.titleBert Modeli ile Türkçe Duygu Analizien_US
dc.title.alternativeTurkish Sentiment Analysis Using Berten_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.authorid0000-0002-5660-4992-
dc.identifier.wosWOS:000653136100465en_US
dc.identifier.scopus2-s2.0-85100306440en_US
dc.institutionauthorKutlu, Mücahid-
dc.identifier.doi10.1109/SIU49456.2020.9302492-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
item.openairetypeConference Object-
item.languageiso639-1tr-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
crisitem.author.dept02.3. Department of Computer Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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