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The Research on Fuzzy Bayesian Network Model for the Network Public Opinion Situation and Threat Assessment

机译:网络舆情和威胁评估的模糊贝叶斯网络模型研究

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In this paper, The project is based on the network information security research foundation, to the public opinion surveillance and early warning research as the breakthrough point, in view of the network public opinion situation change of complexity and diversity, especially the network information uncertainty and fuzziness, constructs a fuzzy Bayesian network model to solve the public opinion situation and threat assessment effectively. The research results can be a variety of network public opinion characteristics factors synthetically, the different time slice characteristic factors are modified, which can accurately track the network public opinion situation and threat of development and change, improve public opinion monitoring and early warning of quality.
机译:本文基于网络信息安全研究的基础,以网络舆情监测和预警研究为突破口,针对网络舆情形势变化的复杂性和多样性,特别是网络信息的不确定性和模糊性,构建模糊贝叶斯网络模型,有效解决舆情和威胁评估。研究结果可以综合考虑各种网络舆情特征因素,修改不同的时间片特征因素,从而可以准确跟踪网络舆情状况和发展变化的威胁,提高舆论监督和质量预警能力。

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