基于关联规则的热点事件时序分析方法

Time Series Analysis of Hot Event Based on Association Rules

热点事件在发展过程中包括多个相关话题,分析多个话题在时序上的演化和传播路径,能够深层次把握热点事件产生、发展、消亡的具体细节。为此提出一种基于关联规则的热点事件时序分析方法。首先将关联规则算法并行实现获取多个时间片的频繁关键词集;然后筛选所有频繁关键词集的关联规则形成关联规则集,从而得到多个话题关键词集合;最后根据关键词集合分析热点事件多个话题的演化和传播路径。实验表明,该方法能够全面有效地跟踪热点事件的动态变化过程,为网络舆情监控和管理提供借鉴和支撑。

As the hot event includes a number of related topics in the development process,analyzing the evolution and propagate path in time-sequence of topics can deeper grasp the specific details of the emergence,development and demise of hot event. In this situation,a method of time series analysis of hot event based on association rules is proposed. Firstly,the frequent keyword sets of multiple time slices are obtained by implementing association rules in parallel. Secondly,the association rule sets are obtained by selecting all of association rule of frequent keyword sets,so as to get keyword sets of multiple topics. Finally,the evolution and propagation path of multiple topics are analyzed according to the keyword sets. Experiments show that the method can track the dynamic change process of hot events comprehensively and effectively,which provides reference and support for network public opinion on the monitoring and management.