Evaluation of Google Reviews of Restaurants in Türkiye Listed on the Michelin Guide Bib Gourmand List: Text Mining Approach
DOI:
https://doi.org/10.21325/jotags.2025.1667Keywords:
Michelin guide, Bib Gourmand, Michelin star, Text mining, GastronomyAbstract
This study aims to make a general evaluation of the services and cuisine quality of the restaurants listed in the Michelin Guide 2025 Bib Gourmand Turkey Bulletin based on Google reviews. During the data collection phase, a total of 3,649 reviews of 25 restaurants listed on Google Maps were collected using the web scraping technique. The collected textual reviews were analyzed using text mining techniques such as sentiment analysis and topic extraction. The sentiment analysis findings show that the opinions about the restaurants listed in the Michelin Guide 2025 Bulletin Bib Gourmand Türkiye were mostly positive (55.31%). The topic extraction results show that customers frequently refer to food and service quality, staff, and restaurant ambiance. In addition, it was determined that waiting time, cost, and portion size constitute significant negative concerns for customers. This research will improve the private sector and academic literature by explaining how consumers evaluate restaurants rated by an international restaurant rating agency.
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