Emotion analysis and design of internet users based on big data

Chen Wang; Luyao Tang; Qingjie Liu; Yuntian Teng

doi:10.1117/12.3008698

27 October 2023 Emotion analysis and design of internet users based on big data

Chen Wang, Luyao Tang, Qingjie Liu, Yuntian Teng

Proceedings Volume 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023); 129222T (2023) https://doi.org/10.1117/12.3008698
Event: The Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 2023, Xiamen, China

Abstract

In the era of rapid development of the Internet, interactive platforms such as Weibo, Zhihu and Douban have developed very rapidly. The appearance of each hot event will bring the heated discussion of netizens, showing all kinds of netizens' emotions. By analyzing the emotional data, we can quickly obtain the positive and negative emotions of netizens, which can provide technical support for the marketing of commodities and the prevention of cyber crimes. This paper designs a netizen emotion analysis and visualization system based on social data by using platforms such as Douban and Weibo. This model takes the novel coronavirus outbreak event as the case for analysis, uses data mining, machine learning, data visualization and other methods to mine potential important information in the data, and uses the clustering method to analyze and classify emotions. Quickly obtain the positive and negative emotions of Internet users, study the emotional changes of Internet users under different states of the epidemic, and conduct correlation analysis between the epidemic events and the emotions of Internet users. It will help governments at all levels to accurately grasp the situation of online public opinion and conduct public opinion guidance and epidemic prevention and control work.

Citation Download Citation

Chen Wang, Luyao Tang, Qingjie Liu, and Yuntian Teng "Emotion analysis and design of internet users based on big data", Proc. SPIE 12922, Third International Conference on Electronics, Electrical and Information Engineering (ICEEIE 2023), 129222T (27 October 2023); https://doi.org/10.1117/12.3008698

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