论文标题
使用多级指数系统对在线舆论的危机进行评分
Rating the Crisis of Online Public Opinion Using a Multi-Level Index System
论文作者
论文摘要
在线公众舆论通常会迅速而广泛地传播，因此，在很短的时间内，一个小型事件可能会变成大型社会危机，并导致信贷或经济方面造成严重的损失。我们提出了一种基于多级指数系统的在线公众舆论危机的方法，以客观地评估事件的影响。首先，从信息生态学的角度来解释了在线公众舆论的传播机制。根据该机制，通过相关分析和主成分分析选择了一些评估指数。然后，通过深度学习来创建文本情感的分类模型，以实现索引系统中情感索引的准确量化。最后，基于多层评估指数系统和灰色相关性分析，我们提出了一种评估在线公众舆论危机的方法。实时事件的实验表明，这种方法可以客观地评估互联网用户的情感趋势，并在在线公众舆论的不同传播阶段评估危机。意识到在线公众舆论的危机警告并及时阻止危机的进一步传播是有帮助的。
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.
