In order to analyze the Chinese love for K-Beauty, this study selected the popular Little Red Book platform in China. All comments on "K-Beauty" in the last six and a half years (January 2015 to June 2021) were collected on this platform, and big data analysis was carried out. In this study, 8901 data were collected by the network data analysis program Textom, and the unnecessary words were cleaned and analyzed by TF-IDF, and 100 main keywords were obtained. The analysis results of this study are as follows. First, it was found that among the 100 keywords, “face mask”, “skin”, “skin essence”, “effect”, “true”, “moisturizing”, etc. accounted for a relatively large proportion. Second, there were 7,518 (86.46%) positive emotion words and 1,007 (11.58%) negative emotion words. Third, the positive words about "K-Beauty" are “suitable”, “easy to use”, etc. while negative words such as "not good" , "greasy" , " red blood" , "disappointment" , and " fake" gradually appeared. Finally, based on the analysis results, marketing suggestions were made to "K-beauty" companies.