Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
39th (2025)
Session ID : 2P4-OS-2a-02
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Comparative Analysis of Review Content and Star Ratings Based on Regional Characteristics
*Qixian Chen CHENKimitaka ASATANIIchiro SAKATA
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Keywords: CSS
CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In the field of online restaurant reviews, examining how regional differences and cultural backgrounds influence consumer behavior has emerged as a critical research topic. However, there has been little statistical discussion regarding the psychological and cultural mechanisms that lead to variations in star ratings across different regions and discrepancies between star ratings and review content. This study compares large-scale restaurant reviews from Tokyo and New York to reveal how cultural and psychological biases shape star ratings. We find that Tokyo reviewers often exhibit moderate evaluations, while New York reviewers tend to provide more polarized feedback. By analyzing aspects such as taste, price, ambiance, and service, we demonstrate that star ratings can deviate from underlying sentiments, indicating the influence of social norms. These findings highlight the importance of considering cultural contexts in the design and interpretation of global review platforms.

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© 2025 The Japanese Society for Artificial Intelligence
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