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

Xiang Chen; Chen Chen; Siyuan Gong; Shantong Liu

doi:10.1117/12.2627791

14 March 2022 Research on early warning of public opinion based on Internet of Things and text emotion analysis

Xiang Chen, Chen Chen, Siyuan Gong, Shantong Liu

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121651U (2022) https://doi.org/10.1117/12.2627791
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

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.

Citation Download Citation

Xiang Chen, Chen Chen, Siyuan Gong, and Shantong Liu "Research on early warning of public opinion based on Internet of Things and text emotion analysis", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121651U (14 March 2022); https://doi.org/10.1117/12.2627791

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