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    Sentiment analysis for hotel reviews in Turkish by using LLMs
    (Institute of Electrical and Electronics Engineers Inc., 2024) Özdemir, Ata Onur; Giritli, Efe Batur; Can, Yekta Said
    The 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.
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    A statistical approach to web usability analysis
    (Işık Üniversitesi, 2007) Giritli, Efe Batur; Perdahçı, Nazım Ziya; Işık Üniversitesi, Fen Bilimleri Enstitüsü, Enformasyon Teknolojileri Yüksek Lisans Programı
    A survey is conducted on 35 experienced Internet users to asset the usability of Turkish e-Commerce Web sites. The data is collected using a 28 questions survey consisting of three categories. ANOVA method is used for the analysis of the survey data. The analysis indicate that the first category that includes questions about the usability of Web sites include three subcategories for both of the web sites as far as the usability is concerned. According to the survey, in general, even advanced Internet users find Turkish e-Commerce sites slightly useable.