Research on the Consumer Reviews of JD Bookstore Based on Text Mining Technology

Abstract

With the rapid development of the Internet economy, the major online shopping platform has accumulated a large amount of consumer comment data containing rich information. This article takes the JD Bookstore consumer comments as the research object and uses the web crawler technology to collect consumer reviews. Further, depth mining and sentiment orientation analysis are performed on the comment data and the feature word list based on the dictionary and sentiment analysis algorithms. The results of the study show that the majority of users comments have positive emotional tendencies, and comments with negative emotional tendencies are less than 10%. Although the majority of users maintain a more positive attitude towards JD Bookstore logistics services, customer service, product quality, product packaging and prices, but logistics services and product quality still need to be further improved. Finally, this paper puts forward some suggestions on the distribution, purchase and pricing of JD Bookstore.