基于系统聚类的反转网络舆情分类及预测研究

发布时间：2019-01-10 17:22

【摘要】：【目的/意义】网络舆情反转现象愈演愈烈,研究反转网络舆情的特点和分类,对于深入分析反转网络舆情的发生,有效预防网络舆情反转的危害有重要现实意义。【方法/过程】通过分析网络舆情反转现象,识别网络舆情反转的风险因素,构建反转网络舆情的分类和预测模型,利用SPSS21对反转网络舆情案例样本进行聚类分析和判别分析。【结果/结论】结果表明事件性质、报道倾向、报道形式、首发平台,以及与网民相关度是影响网络舆情反转的重要因素。将反转网络舆情分为四类,以此为基础开展预测,并为反转网络舆情的应对提出策略支持。
[Abstract]:[objective / significance] the phenomenon of reversal of network public opinion is becoming more and more serious. The characteristics and classification of reverse network public opinion are studied, and the occurrence of reverse network public opinion is analyzed deeply. It is of great practical significance to prevent the harm of network public opinion reversal effectively. [method / process] by analyzing the phenomenon of network public opinion reversal, identifying the risk factors of network public opinion reversal, the classification and prediction model of reverse network public opinion is constructed. Cluster analysis and discriminant analysis of public opinion case samples of reverse network using SPSS21. [results / conclusions] the results show that the nature of events, reporting tendency, report form, starting platform, And the correlation with Internet users is an important factor affecting the reversal of network public opinion. The reverse network public opinion is divided into four categories, based on which the prediction is carried out, and the strategies are proposed to support the response of the reverse network public opinion.
【作者单位】：中国人民武装警察部队学院;
【基金】：国家社科基金青年项目(15CXW015)
【分类号】：C912.63

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