面向突发事件应急管理的社交媒体多模态信息分析研究

doi:10.3772/j.issn.1000-0135.2021.11.003

情报学报

2021, Vol. 40

Issue (11): 1150-1163 DOI: 10.3772/j.issn.1000-0135.2021.11.003

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面向突发事件应急管理的社交媒体多模态信息分析研究

徐元¹, 毛进^1,2, 李纲^1,2

1.武汉大学信息管理学院，武汉 430072
2.武汉大学信息资源研究中心，武汉 430072

Social Media Multimodal Analysis for Emergency Management

Xu Yuan¹, Mao Jin^1,2, Li Gang^1,2

1.School of Information Management, Wuhan University, Wuhan 430072
2.Center for Studies of Information Resources, Wuhan University, Wuhan 430072

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摘要当前，社交媒体已经成为突发事件态势感知的一种重要信息来源，其中包含文本、图像、视频等多模态信息，可广泛应用于突发事件的应急管理。近年来，作为一项具有挑战性的任务，面向突发事件的社交媒体多模态信息分析已受到学术界和工业界的广泛关注。本文围绕突发事件中的社交媒体多模态信息分析研究展开综述，从内容、时空和传播三个维度解析社交媒体多模态信息的多维特征，并从信息获取、信息整合和信息挖掘三个方面归纳多模态信息分析的关键方法和技术。最后，本文在综述的基础上，结合“情境-应对”模式下的突发事件应急管理目标，构建社交媒体多模态信息分析框架，并从信息获取、描述、分析和可视化等方面展望未来的研究方向，为面向突发事件应急管理的社交媒体多模态信息分析研究和实践提供指引，以期通过方法创新提升突发事件的应急管理能力。

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	徐元
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关键词 ：突发事件, 应急信息管理, 社交媒体, 多模态信息分析, 语义分析

收稿日期: 2021-02-05

基金资助:国家自然科学基金重大项目课题“国家安全大数据综合信息集成与分析方法”（71790612）；国家自然科学基金创新群体项目“信息资源管理”（71921002）。

作者简介: 徐元，男，1994年生，博士研究生，主要研究方向为信息组织、多模态信息分析；毛进，男，1988年生，副教授，主要研究方向为信息组织、学术大数据分析；李纲，男，1966年生，教授，博士生导师，主要研究方向为网络信息资源管理、竞争情报，E-mail：imiswhu@aliyun.co；

引用本文:

徐元, 毛进, 李纲. 面向突发事件应急管理的社交媒体多模态信息分析研究[J]. 情报学报, 2021, 40(11): 1150-1163.
Xu Yuan, Mao Jin, Li Gang. Social Media Multimodal Analysis for Emergency Management. 情报学报, 2021, 40(11): 1150-1163.

链接本文:

https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2021.11.003 或 https://qbxb.istic.ac.cn/CN/Y2021/V40/I11/1150

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