Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/4264
Title: BERT Modeli ile Türkçe Duygu Analizi
Other Titles: Turkish Sentiment Analysis Using BERT
Authors: Açıkalın, Utku Umur
Bardak, Benan
Kutlu, Mücahid
Keywords: BERT
Turkish Sentiment Analysis
Issue Date: Sep-2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Acikalin, 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.
Abstract: While 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.
URI: https://hdl.handle.net/20.500.11851/4264
https://ieeexplore.ieee.org/document/9302492
ISBN: 978-172817206-4
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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