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Keyword-Based Semantic Analysis of Microblog for Public Opinion Study in Online Collective Behaviors

机译:基于关键词的微博客语义分析在网络集体行为中的舆论研究

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This study employs text mining and semantic analysis methods to analyze the change of public opinion in the formation of online collective behaviors in crisis management. A case that related to law enforcement violence is investigated to study the communication between government and the public. The development of event is framed based on news data. The paper conducts a semantic analysis on microblog data and extracts high-frequency keywords and co-occurrence words at each stage of the event. By comparing key words at different stages, the paper proposes a new way to gain insight into the requirement of the public and predict the change of public opinion.
机译:本研究采用文本挖掘和语义分析方法来分析危机管理中在线集体行为形成过程中的舆论变化。调查与执法暴力有关的案件,以研究政府与公众之间的沟通。事件的发展基于新闻数据。本文对微博数据进行了语义分析,并在事件的每个阶段提取了高频关键词和共现词。通过比较不同阶段的关键词,本文提出了一种新的途径来深入了解公众的需求并预测舆论的变化。

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