大数据环境下网络危机信息挖掘与应急决策模型研究

随着大数据时代的到来,世界各地不法组织和个人在现实世界和网络虚拟空间的活动轨迹以数据的形式存储下来形成海量的危机信息数据源。大数据环境下如何利用数据挖掘技术,从海量舆情数据中检索分析出有用信息进行决策是摆在管理者面前的艰巨任务。本文在总结大数据背景下涉危舆情信息特点的基础上,归纳、总结和分析了常用的涉危舆情信息挖掘方法并给出基于舆情挖掘的应急决策概念模型。本文结论可为公共危机应急决策者和相关技术人员提供恰当的舆情挖掘方法建议,进一步为防控社会公共危机工作提供理论支持和技术参考。

With the new era of big data, the tracks of public crisis-related organizations and individuals in the real world and network virtual space are stored in the form of data to form a large number of data sources related to public crisis. Under the big data environment, how to use data mining technology to retrieve and analyze useful information from mass public opinion data to make decisions is a difficult task that the managers facing. On the basis of summarizing the characteristics of public opinion information related to public crisis in the context of big data, this paper generalizes, summarizes and analyzes the commonly used public opinion related information mining methods and presents a conceptual model of emergency decision-making based on public opinion mining. The conclusion of this paper can provide appropriate public opinion mining methods and suggestions for decision makers and technical personnel of prevention and control public crises, and further provide theoretical support and technical reference for prevention and control public crises work.