Trends in consumer evaluations of tuna: Text mining of online reviews.

This study explores consumer evaluations of Pacific and Southern Bluefin Tuna parts in Japan, using text mining on Rakuten Ichiba reviews from January 2015 to December 2019. Our analysis identified distinct preferences and concerns regarding texture, fat content, and culinary applications, emphasizing species differences. Texture issues, notably sinews in Southern Bluefin Tuna's Akami and unexpected bone in its Chu-toro, highlight the need for improved product descriptions and customer education. Findings imply implications for seafood industry strategies, emphasizing accurate product information for enhanced customer satisfaction. Future research should gather demographic data for tailored strategies. This study demonstrates text mining's role in guiding targeted marketing and refining product in the seafood sector. [ABSTRACT FROM AUTHOR]