A Study of Customer Satisfaction in Milk Tea Stores Based on Online Comment Clustering

The popularity of the Internet has made it easier for consumers to post their life perceptions and daily routines on the Web, and consumers are aware that online comments are a useful information resource and can influence their consumption intentions. In this paper, we use the Houyi collector for data mining, from 2020 to 2022, more than 7000 comments from Meituan have been collected, and then K-means clustering analysis is performed on the feature words related to customer satisfaction through SPSS to determine the focus of customers of each milk tea store and provide reliable suggestions for merchants.