Research on Users’ Emotion in the Later Period of the Inversion of public opinion--Taking the case of Wang Fengya as an example

Abstract

Online public opinion reversal events occur frequently. The emotional characteristics and reasons of users in the later period of online public opinion reversal events are still not clear. Therefore, it is necessary to analyze the user emotions in the later period of the online public opinion reversal event, so as to help strengthen the supervision of public opinions and avoid the negative impact on the society in the process of public opinion reversal as far as possible. In this paper, Wang Fengya’s public opinion reversal event was taken as an example. Python crawler was used to capture the user comment data of the later period of this network public opinion reversal event. Combined with BosonNLP emotion dictionary, HowNet emotion dictionary and the characteristics of data capture, a custom emotion dictionary was constructed to realize the emotion analysis based on the custom emotion dictionary. In the later period of the reversal of public opinion on the Internet, user emotion has the characteristics of scattered user group structure, extreme and irrational emotion, and a high proportion of negative emotional comments. This is related to China’s economic development, the composition of Weibo network users and the diversity of media communication means.