Statistical and sentiment analysis based on comments of skin care products

With the continuous development of the Internet economy and the strong promotion in various aspects, the rise of new domestic brands has led to an increasing number of consumers paying attention to and purchasing cosmetics online. Grasping the pulse of the times in this context is a crucial key to understanding the Internet economy. This paper first crawled the product links of the JD.com skin care essence category, randomly selecting 100 products. Subsequently, a total of 49,560 comments were crawled for the selected products. Furthermore, employing text mining techniques, this paper conducts word frequency statistics, generates word clouds, performs cluster analysis, and analyzes the emotions expressed in the JD.com skin care essence product comments, aiming to achieve comprehensive mining and analysis of the comment content from multiple perspectives. Additionally, descriptive statistics and visual representations are utilized to enhance the accuracy and intuitiveness of the text processing. Finally, this paper summarizes the insights gained from the product comments on the internet e-commerce platform and provides some prospects for future development.