Abstract
Strengthening the management of online public opinion and effectively predicting mass emergencies is an important task of social innovation governance. In the context of big data, the analysis and response of mass incidents online public opinion are facing huge challenges. Therefore, how to build a mass incident online public opinion early warning mechanism in the era of big data is particularly urgent and important. The article takes forums, microblogs, blogs and other news sites with commentary functions as the research objects, analyzes and judges online public opinion of mass incidents, builds an early warning mechanism of online public opinion, and provides useful ideas for preventing and judging the occurrence of mass incidents. Explore the distributed processing of public opinion big data and the marginalization of text computing, pay attention to the mining of public opinion sensitive features, and improve the efficiency of public opinion feature query.
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