Sentiment analysis for hotel reviews in Turkish by using LLMs

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dc.authorid0000-0002-6614-0183
dc.contributor.authorÖzdemir, Ata Onuren_US
dc.contributor.authorGiritli, Efe Baturen_US
dc.contributor.authorCan, Yekta Saiden_US
dc.date.accessioned2025-08-15T12:26:40Z
dc.date.available2025-08-15T12:26:40Z
dc.date.issued2024
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Computer Engineeringen_US
dc.description.abstractThe field of sentiment analysis plays a pivotal role in consumer decision-making and service quality improvement within the hospitality industry. This study explores the application of Large Language Models (LLMs) for sentiment analysis of Turkish hotel reviews, contributing to the understanding of customer feedback and satisfaction. We created a dataset of 5,000 reviews by translating an English corpus into Turkish, which was then utilized to evaluate the performance of a state-of-the-art Turkish language model, TURNA. The study demonstrates that LLMs, particularly TURNA, outperform traditional machine learning algorithms and other advanced models in sentiment classification tasks, achieving an accuracy of 99.4%. This research underscores the potential of LLMs to enhance the accuracy of sentiment analysis, offering valuable insights for the tourism and hospitality sectors. The findings contribute to the ongoing evolution of sentiment analysis methodologies and suggest that LLMs can significantly improve t he understanding a nd processing of customer feedback in Turkish hotel reviews.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÖzdemir, A. O., Giritli, E. B. & Can, Y. S. (2024). Sentiment analysis for hotel reviews in Turkish by using LLMs. UBMK 2024 - Proceedings: 9th International Conference on Computer Science and Engineering, 210-214. doi:10.1109/UBMK63289.2024.10773456en_US
dc.identifier.doi10.1109/UBMK63289.2024.10773456
dc.identifier.endpage214
dc.identifier.isbn9798350365887
dc.identifier.scopus2-s2.0-85215505832
dc.identifier.scopusqualityN/A
dc.identifier.startpage210
dc.identifier.urihttps://hdl.handle.net/11729/6617
dc.identifier.urihttps://doi.org/10.1109/UBMK63289.2024.10773456
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖzdemir, Ata Onuren_US
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofUBMK 2024 - Proceedings: 9th International Conference on Computer Science and Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHotel reviewsen_US
dc.subjectLarge language modelsen_US
dc.subjectNatural language processingen_US
dc.subjectSentiment analysisen_US
dc.subjectTransformeren_US
dc.subjectDecision makingen_US
dc.subjectNatural language processing systemsen_US
dc.subjectCustomer feedbacken_US
dc.subjectLanguage modelen_US
dc.subjectLanguage processingen_US
dc.subjectNatural languagesen_US
dc.subjectTurkishsen_US
dc.subjectCustomer satisfactionen_US
dc.titleSentiment analysis for hotel reviews in Turkish by using LLMsen_US
dc.typeConference Objecten_US
dspace.entity.typePublicationen_US

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