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dc.contributor.authorAcikalin, Utku Umur
dc.contributor.authorBardak, Benan
dc.contributor.authorKutlu, Mucahid
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.description28th Signal Processing and Communications Applications Conference, SIU (2020; Gaziantep, Turkey)en_US
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.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2021 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
dc.subjectTurkish Sentiment Analysisen_US
dc.titleBERT Modeli ile Türkçe Duygu Analizitr_TR
dc.title.alternativeTurkish Sentiment Analysis Using BERTen_US
dc.contributor.departmentTOBB ETU, Faculty of Engineering, Department of Computer Engineeringen_US
dc.contributor.departmentTOBB ETÜ, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.contributor.tobbetuauthorKutlu, Mücahid
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR

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