arXiv AI By Muntasir Hasan Kanchan, Md. Alamgir Hossain, Md. Samiul Islam, Muhammad Masud Tarek

Dual-Model Sentiment Analysis of Consumer Reviews in the Retail Coffee Sector Using Machine Learning and Deep Learning Approaches

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arXiv:2608. 12007v1 Announce Type: cross Abstract: Consumer reviews play an important role in shaping brand perception and business strategies, particularly in service-driven industries such as retail coffee.

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Dual-Model Sentiment Analysis of Consumer Reviews in the Retail Coffee Sector Using Machine Learning and Deep Learning Approaches

Consumer reviews play an important role in shaping brand perception and business strategies, particularly in service-driven industries such as retail coffee. This study presents a comparative sentiment analysis framework for Starbucks customer reviews using classical machine learning and deep learning approaches.

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By Ger\c{c}ek Budak (Department of Industrial Engineering, Ankara Y{\i}ld{\i}r{\i}m Beyaz{\i}t University, Ke\c{c}i\"oren, Ankara 06010, T\"urkiye), Faraz Gholamzadeh Gharehgheshlaghi (Department of Industrial Engineering, Ankara Y{\i}ld{\i}r{\i}m Beyaz{\i}t University, Ke\c{c}i\"oren, Ankara 06010, T\"urkiye), Melika Barjesteh Vaezi (Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States), Ahmad Gholizadeh Lonbar (Department of Civil, Construction, and Environmental Engineering, University of Alabama, Tuscaloosa, AL, USA)