基于多层次指标体系的网络舆情危机评估
Rating the Crisis of Online Public Opinion Using a Multi-Level Index System
摘要：
网络舆论传播迅速、广泛，一个小事件很可能在很短的时间内演变成一场大的社会危机，造成信用或经济方面的重大损失。本文提出了一种基于多层次指标体系的网络舆情危机等级评定方法，以客观评价事件的影响。首先，从信息生态学的角度阐释了网络舆论的传播机制。根据机理，通过相关分析和主成分分析，筛选出了评价指标。然后，通过深度学习训练，建立文本情感分类模型，实现指标体系中情感指标的精确量化。最后，基于多层次评价指标体系和灰色关联分析法，提出了网络舆情危机的分级方法。实验结果表明，该方法能够客观地评价网络舆情不同传播阶段网民的情绪倾向，对网络舆情危机进行分级。有助于实现网络舆情的危机预警，及时阻断危机的进一步蔓延。
英文摘要：
Online public opinion usually spreads rapidly and widely, thus a small incident probably evolves into a large social crisis in a very short time, and results in a heavy loss in credit or economic aspects. We propose a method to rate the crisis of online public opinion based on a multi-level index system to evaluate the impact of events objectively. Firstly, the dissemination mechanism of online public opinion is explained from the perspective of information ecology. According to the mechanism, some evaluation indexes are selected through correlation analysis and principal component analysis. Then, a classification model of text emotion is created via the training by deep learning to achieve the accurate quantification of the emotional indexes in the index system. Finally, based on the multi-level evaluation index system and grey correlation analysis, we propose a method to rate the crisis of online public opinion. The experiment with the real-time incident show that this method can objectively evaluate the emotional tendency of Internet users and rate the crisis in different dissemination stages of online public opinion. It is helpful to realizing the crisis warning of online public opinion and timely blocking the further spread of the crisis.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
