Evaluating customer emotions in coffee shop reviews using machine learning
Marcel Merimee Bakala Mboungou,
Shunxiang Zhang,
Iqra Yamin
Abstract:Sentiment analysis is a crucial technique for understanding and classifying the emotions expressed in written content. Given the widespread use of social media, these platforms have become an essential method for gathering customer feedback in several industries, including the café sector. This research introduces a method that uses the Soft K-means clustering algorithm to automatically evaluate sentiment in response to the growing online presence of coffee establishments. This approach is used to categorize c… Show more
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