网络舆论倾向性的动态跟踪方法及实证研究

发布时间：2018-05-11 06:33

本文选题：舆论倾向性 + 跟踪统计量　；参考：《统计与信息论坛》2013年01期

【摘要】：从统计学视角审视网络舆论倾向性的监测问题,提出了以粗糙分类器为基础建立舆论倾向性分类模型,将复杂的预警指标体系简化为单一直观的跟踪统计量,并通过跟踪统计量动态跟踪舆论倾向性变化轨迹的研究方法。实证研究以2011年"郭美美事件"相关新闻跟帖为对象。分析表明,网络舆论的消极倾向性在整个事件发展过程中呈持续增长,与基本事实相符,证实了方法的可行性和适用性。
[Abstract]:From the perspective of statistics, this paper examines the monitoring of the tendency of public opinion on the network, and puts forward a classification model of opinion orientation based on rough classifier, which simplifies the complex early warning index system into a single intuitionistic tracking statistic. And through tracking statistics dynamic tracking of public opinion trend change trajectory research method. The empirical study takes the 2011 Guo Meimei incident news post as the object. The analysis shows that the negative tendency of network public opinion continues to increase in the course of the whole event, which is consistent with the basic facts and proves the feasibility and applicability of the method.
【作者单位】：中国人民大学应用统计科学研究中心;中国人民大学统计学院;
【分类号】：TP393.09

【二级参考文献】