基于大数据的网络舆情传播信息聚类监控研究  

Research on Clustering Monitoring of Network Public Opinion Dissemination Information Based on Big Data

作　　者：王军[1] WANG Jun(Suqian Higher Normal School,Suqian Jiangsu 223800,China)

机构地区：[1]宿迁高等师范学校,江苏宿迁223800

出　　处：《信息与电脑》2021年第5期16-18,共3页Information & Computer

摘　　要：由于传统信息聚类监控方法不能深入挖掘文本语义,导致监控效率较低,因此笔者提出一种基于大数据的网络舆情传播信息聚类监控方法。该方法通过提取网络舆论传播信息的特征,完成数据基础分析;基于大数据技术进行信息聚类,挖掘文本语义;构建网络舆论演变监控模型,实现动态化信息交互。实验结果表明,该方法具有良好的文本聚类效果,网络舆情传播信息聚类监控的效率更高,能够满足实际应用需求。Because traditional information clustering monitoring methods cannot dig deeper into text semantics,resulting in low monitoring efficiency,the author proposes a big data-based network public opinion dissemination information clustering monitoring method.This method completes data basic analysis by extracting the characteristics of network public opinion dissemination information;based on big data technology for information clustering,mining text semantics;constructing a network public opinion evolution monitoring model to realize dynamic information interaction.Experimental results show that this method has a good text clustering effect,and the efficiency of network public opinion dissemination information clustering monitoring is higher,which can meet the needs of practical applications.

关 键 词：大数据 网络舆情 传播信息 聚类监控 

分 类 号：G350[文化科学—情报学]