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Research on trend prediction and evaluation of network public opinion

机译:网络舆情趋势预测与评价研究

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Network public opinion can reflect social and political attitude of people, and it is very importantrnthat we study trend prediction and evaluation of network public opinion, which can providerndecision making for managers. Aiming at lacking in trend prediction and evaluation of networkrnpublic opinion, the attributes of monitoring index system of network public opinion are reducedrnusing rough set theory, and construct a more scientific monitoring index system of network publicrnopinion combined with the real life, determine the weight of the index using the analyticrnhierarchy process, and present a novel method of trend prediction and evaluation of networkrnpublic opinion on the basis of fuzzy comprehensive evaluation model from the aspects of thernquantitative and qualitative. Example analysis shows that this method is simple and easy tornimplement. It helps to provide a new theory and practice guidance for trend prediction and riskrnevaluation of online network public opinion.
机译:网络舆情能够反映人们的社会政治态度,因此研究网络舆情的趋势预测与评估方法对管理者决策具有重要意义。针对网络舆情的趋势预测与评价缺乏的特点,运用粗糙集理论减少了网络舆情监测指标体系的属性,结合现实生活构建了更加科学的网络舆情监测指标体系,确定了网络舆情的权重。运用层次分析法对指标进行指标化,从定量和定性两个方面提出了一种基于模糊综合评价模型的网络舆情趋势预测与评价的新方法。实例分析表明,该方法简单易行。它为在线网络舆情的趋势预测和风险评估提供了新的理论和实践指导。

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