Research on early warning of public opinion based on Internet of Things and text emotion analysis

Abstract

Combine the networking process and text emotion analysis technology to build an early warning system of public opinion, which provides a basis for judging the emotional tendency of police Weibo and points out the direction for the future emotional analysis and research. Based on the emotion analysis method of emotion dictionary, this paper constructs the analysis model of emotion polarity, takes the related topics of police work as an example to verify the availability of the model, and finally carries on the correlation analysis to these information of Weibo and the emotion polarity. The emotional polarity analysis model of this paper has availability, there is a significant positive correlation between Weibo comments and retweets, and when the retweets are low, there is a significant negative correlation between comments and emotional polarity. And when the number of likes on Weibo is greater than the number of comments, Weibo content itself has a positive emotional tendency.