By using K-means clustering method and Porter’s five forces model, taking the 2021 World Internet Conference data as an example, and with the help of big data platforms such as Baidu Index and Sina Micro Index, this paper analyzes the evolving law of online public opinion in major conferences and the heat influencing factors. Research indicates: Internet public opinion begins to fluctuate a week before the opening of major conferences, reaches its peak for the first time on the opening day, and then public opinion will rebound, until the closing of the conference, public opinion begins to weaken; during the evolution of online public opinion, the government and official media are the leading forces in handling online public opinion. Facing online public opinion of major conferences, the government should first plan ahead and respond quickly, but should not interfere excessively; secondly, give full play to the guiding role of guests and experts; give full play to the government's "three micro ends" communication channel again. The big data platform provides data support for the government to scientifically respond to the network public opinion of major conferences.

Huajin Liu. Research on Internet Public Opinion of Major Conferences Based on Big Data—Take the 2021 World Internet Conference Data as an Example. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 1: 55-60. https://doi.org/10.25236/IJFET.2022.040110.

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