社会与工程心理学研究室知识库

Since the systematic differences in language is stable and unique, the language in social media can be harnessed to create a valid measure of psychological traits by computer techniques. Combining computer technology and psychology theory may provide supplement for previous empirical research. This paper focused on the linguistic features of impulse buying users by using lexical analysis on microblog text. We analyzed the linguistic features of 321,610 microblog texts from 550 Weibo volunteers. The regression result indicated that there were obvious differences in the linguistic features of impulsive buyers. Systematic differences in the language use, especially in the impulse consumer, have received attention in the industry. The method of distinguishing impulsive consumers by the difference of linguistic features is convincing, especially for those who did not have any purchase records. In this paper, we proposed a new and valid strategy to study impulsive consumer. © 2019, Springer Nature Switzerland AG.