Abstract
Though the process of urbanization in China is accelerating and the size of the cities continues to expand, the urban danger sources are increasing. When public emergencies such as natural disasters, major accidents, environmental hazards, and vandalism occur in the city, people receive information from major media platforms; it is easy to cause rapid spread of public opinion by smart terminals. Therefore, the research on the public opinion governance model of urban public events has great practical significance for ensuring the economic development and social stability. This paper mainly focuses on the prediction, analysis, and governance of the current public sentiment caused by urban public emergencies. Facing different sensational outbreak nodes, the system analyzes the current node’s emotional inclination, assists the government to improve their supervisory capability, and proposes rationalized constructive opinions and solutions.
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Acknowledgements
The research is supported by the Key Project of State Language Commission of China (No. ZDI135-26), the Natural Science Foundation of Guangdong Province (No. 2018A030313672), the Featured Innovation Project of Guangdong Province (No. 2015KTSCX035), the Bidding Project of Guangdong Provincial Key Laboratory of Philosophy and Social Sciences (No. LEC2017WTKT002), and the Key Project of Guangzhou Key Research Base of Humanities and Social Sciences: Guangzhou Center for Innovative Communication in International Cities (No. 2017-IC-02).
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Li, Z., Liu, W. (2020). Automatic Decision Support for Public Opinion Governance of Urban Public Events. In: Jain, V., Patnaik, S., Popențiu Vlădicescu, F., Sethi, I. (eds) Recent Trends in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 1006. Springer, Singapore. https://doi.org/10.1007/978-981-13-9406-5_7
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DOI: https://doi.org/10.1007/978-981-13-9406-5_7
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