Understanding User Engagement With Gemini Through Sentiment Analysis and Concept Mapping

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Author(s): Ahmet Alkan Çelik (Faculty of Economics and Administrative Sciences, Dogus University, İstanbul, Turkey), Yavuz Selim Balcıoğlu (Management Information System, Dogus University, Turkey)and Erkut Altındağ (Faculty of Economics and Administrative Sciences, Dogus University, İstanbul, Turkey)
Copyright: 2025
Volume: 12
Issue: 1
Pages: 14
Source title: International Journal of Business Analytics (IJBAN)
Editor(s)-in-Chief: John Wang (Montclair State University, USA)
DOI: 10.4018/IJBAN.375429

Keywords: Business & Management / Business Information Systems / Business Intelligence / Business Science Reference

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Abstract

Gemini, an advanced artificial intelligence tool, has generated significant interest because of its complex capabilities and versatility. Notwithstanding its worldwide acclaim, several nations, particularly Turkey, have exhibited reluctance to implement Gemini domestically. This article aims to investigate the public discourse regarding Gemini in Turkey, assess the factors contributing to its limited acceptance, and provide insights into the future of artificial intelligence globally. The authors utilize the latent dirichlet allocation topic modeling algorithm to examine 35,974 social media posts and comments from Turkish users regarding Gemini. The results indicate that negative attitudes prevail over positive and neutral sentiments. Furthermore, the authors observe two notable peaks in Gemini's focus from March to May 2024. The principal terms signifying public interest and concern are “innovation,” “enterprise,” and “advancement.” The analysis reveals three principal topics in the discourse: societal influence, technical advancement, and educational applications.

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