信息资源管理学报 ›› 2022, Vol. 12 ›› Issue (2): 88-100.doi: 10.13365/j.jirm.2022.02.088

• 研究论文 • 上一篇    下一篇

基于时空视角的舆情反转事件情感演化特征研究

何婕君 李阳   

  1. 南京大学信息管理学院,南京,210023
  • 出版日期:2022-03-26 发布日期:2022-04-25
  • 作者简介:何婕君,硕士生,研究方向为社交媒体信息分析、数据挖掘;李阳(通讯作者),副教授,硕士生导师,研究方向为应急情报、数据治理,Email: liyang@nju.edu.cn。
  • 基金资助:
    本文系国家社会科学基金青年项目“面向应急管理的情报工程服务机制建设研究”(18CTQ021)的成果之一。

Research on the Emotional Evolution Characteristics of Public Opinion Reversal Events Based on Time and Space Perspective

He Jiejun Li Yang   

  1. School of Information Management, Nanjing University, Nanjing 210023
  • Online:2022-03-26 Published:2022-04-25

摘要: 舆情反转事件是一类特殊的舆情事件,研究舆情反转事件的情感演化特征,对复杂舆情事件的综合治理以及网络生态稳定具有重要意义。通过划分特定舆情反转事件的生命周期,结合事件主题内容特征进行情感分析,从时间和空间两个维度刻画舆情反转事件的情感演化特征。结果表明,网民在舆情反转事件各生命周期的情感焦点、情感倾向呈现出复杂的演化态势,不同时间段、不同区域的舆情关注度和情绪状态存在差异。与普通舆情事件相比,舆情反转事件在反转前后的情感变化具有鲜明的特殊性,其情感演化过程与舆情反转事件发展态势密切相关。

关键词: 舆情反转, 微博, 主题分析, 情感分析, 时空演化

Abstract: Public opinion reversal events are a special kind of public opinion events. Studying the emotional evolution characteristics of public opinion reversal events is of great significance to the comprehensive management of complex public opinion events and the stabilization of the network ecology. By dividing the life cycle of a specific public opinion reversal event and combining with the subject content characteristics, we carried out the sentiment analysis to describe the emotional evolution features of the public opinion reversal event from time dimension and the space dimension.The results show that the emotional focus and emotional tendency of netizens in each life cycle of public opinion reversal events show a complex evolutionary trend, and there are differences in public opinion attention and emotional state in different time periods and regions. Compared with ordinary public opinion events, the emotional changes of public opinion reversal events before and after the reversal have distinct characteristics, and the emotional evolution process is closely related to the development trend of public opinion reversal events.

Key words: Public opinion reversal, Microblog, Topic analysis, Sentiment analysis, Temporal and spatial evolution

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