Ms. Nan Hu Profile

Nan Hu

at Liaoning Institute of Science and Technology

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Proceedings Article | 11 November 2022 Paper

COVID-19 public opinion information analysis system

Nan Hu, Hui Liu

Proceedings Volume 12348, 123483E (2022) https://doi.org/10.1117/12.2641365

KEYWORDS: Visualization, Statistical analysis, Human-machine interfaces, Data storage, Data visualization, Data acquisition, Visual analytics, Databases, Data modeling, Visual process modeling

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The arrival of COVID-19 has led to the emergence of a large amount of information, and inaccurate information will lead to group polarization and cognitive dissonance, so the management of public opinion information has become urgent. In this paper, the COVID-19 public opinion information analysis system selects the data sources on weibos as reference, and weibo hot topics, as the platform that users mainly focus on, are more authoritative and more credible compared to emerging media As the main platform for users' attention, Weibo hot topics are more authoritative and credible than emerging media. The selection of such a large platform can also ensure the openness and transparency of information. This paper focuses on a series of development processes such as acquisition and analysis of COVID-19 data and database design of COVID-19 public opinion information analysis system. The system not only realizes the basic functions of COVID-19 public opinion information analysis system, but also runs smoothly and interactively.

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