Abstract
The unpredictability, information asymmetry, resource shortage and other characteristics of emergency would bring uncertainty to management decisions when the events occurred, however, the extraction, processing and prediction of social media multi-modal information could effectively carry out early warning, monitoring and control work. 120 subjects were selected to participate in the survey and the characteristics of social media multi-modal information in terms of content, time and geographic position, and network were proposed based on the results. Several processing methods of social media multi-modal information in emergency were sorted out, and the social media multi-modal processing mode throughout the whole process of the event for emergency was proposed to provide reference for multi-modal analysis and research under special conditions in the future.
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Acknowledgements
This work was supported by the grants from Youth Foundation Project of Wuhan Donghu University (project number: 2020dhsk003).
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Lin, J. (2022). Social Media Multi-modal Processing Mode for Emergency. In: Sugumaran, V., Sreedevi, A.G., Xu, Z. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. ICMMIA 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 136. Springer, Cham. https://doi.org/10.1007/978-3-031-05237-8_7
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