Public Opinion Analysis on Novel Coronavirus Pneumonia and Interaction With Event Evolution in Real World
|Public Opinion Analysis on Novel Coronavirus Pneumonia and Interaction With Event Evolution in Real World.
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IEEE BASE PAPER ABSTRACT:
During the novel coronavirus pneumonia, the underlying comments and news of the epidemic had bombed on the Internet media and social networks, reflecting the views and attitudes of the governments, society, and individuals to the epidemic situation. Those comments are closely related to people’s lives and blend with each other. Novel coronavirus pneumonia affects people’s lives, and they publish comments on social networks and media, and the underlying information from social networks and Internet media in turn affects people’s attitude to the epidemic and the measures, and strategies taken to fight coronavirus in life. We collect the comments from various social network platforms and network media such as Weibo, WeChat, Chinanews, Sina News, NetEase News, Sohu News, and analyze the overall situation of public opinion on the novel coronavirus pneumonia. We explore the interaction between online public opinion and real life using a variety of algorithms in different stages of the epidemic. We can obtain public attention and key nodes in the dissemination of public opinion by detecting hot events and calculating user’s influence. The analysis of information dissemination path is conducive to the rapid propagation of healthy comments, curbing the spread of bad information. Event-specific details and topics are mined from large amounts of comments by thematic clustering and association relationship detecting, which helps to provide technical support for government response measures. The emotional analysis of Internet users’ groups helps to guide the direction of public opinion. The situation analysis shows the deep blending and mutual influence between the online public opinion and the real world.
PROJECT OUTPUT VIDEO:
- System : Pentium i3 Processor
- Hard Disk : 500 GB.
- Monitor : 15’’ LED
- Input Devices : Keyboard, Mouse
- Ram : 4 GB
- Operating system : Windows 10.
- Coding Language : Java
- Tool : Netbeans 8.2
- Database : MYSQL
Xin Liu , Liang Zheng, Xiaofeng Jia, Hongwei Qi, Shaowen Yu, and Xiao Wang , Member, IEEE, “Public Opinion Analysis on Novel Coronavirus Pneumonia and Interaction With Event Evolution in Real World”, IEEE Transactions on Computational Social Systems, Volume: 8, Issue: 4, Aug. 2021.