基于用户行为感知的微博舆情挖掘和管理研究

Research on Mining and Management of the Weibo Public Opinions Based on User Behavior Perception

本文将用户行为感知和微博舆情挖掘与管理结合在一起,研究在微博舆情的形成和发展中用户行为的不同及其对舆情发展的影响,提供了舆情挖掘和管理的方法。研究在微博平台中有关社会事件信息的传播方式,分析微博舆情的形成,引入用户行为感知的技术,对参与舆情发展的用户进行分类,以行为感知的角度分析微博舆情的变化情况。用户的不同行为在微博舆情的发展中起着截然不同的作用,可以利用用户行为感知的技术对用户进行分类并依照算法进行微博舆情的挖掘,对不同的用户行为进行舆情引导。

This paper studies the user behavior and its influence on the formation and development of the public opinions by combining user behavior perception with mining and management of the microblog public opinions.The research contents include the way of information dissemination about social events and the formation of the public opinions on microblog. By using the technology of user behavior perception, the users participating in the development of public opinions are classified, and the change of the microblog public opinions is analyzed. The results suggest that different user behaviors play the different roles in the development of microblog public opinions. Classifying users and mining the public opinions based on the technology of user behavior perception may guide the user’s behavior.