基于AP聚类的舆情监测  

Public Opinion Monitoring based on AP Clustering

作　　者：郑东辉 乔立龙 ZHENG Dong-hui;QIAO Li-long(College of Foreign Affairs Translation of Shandong,Shandong Weihai 264504,China)

机构地区：[1]山东外事翻译职业学院(本科)信息与控制工程学院,山东威海264504

出　　处：《新一代信息技术》2019年第3期39-46,共8页New Generation of Information Technology

摘　　要：网络舆情监测在当今时代显得尤为重要,目前虽有一些监测方法,但都不完善。近邻传播算法(Affinity Propagation,AP)是数据挖掘领域中非常流行的聚类算法之一,将其应用于热点事件舆情趋向监测,实验证明,取得了优良的结果。Network public opinion monitoring is particularly important in today's era.Although there are some monitoring methods,they are not perfect.Affinity Propagation algorithm(AP)is one of the most popular clustering algorithms in the field of data mining.It has been applied to the monitoring of public opinion trend of hot events,and it has been proved by experiments that good results have been obtained.

关 键 词：舆情监测 近邻传播算法 ICTCLAS 聚类 

分 类 号：G20[文化科学—传播学]