应用图谱分析的舆情研究主题发现  

Research on Discovery of Public Opinion Research Theme Based on Knowledge Graph Analysis

作　　者：程小刚[1] 谢丹颖 郭韧[2] CHENG Xiaogang;XIE Danying;GUO Ren(College of Computer Sciences and Technology,Huaqiao University,Xiamen,China,361021;College of Business Administration,Huaqiao University,Quanzhou,China,362021)

机构地区：[1]华侨大学计算机科学与技术学院,福建厦门361021 [2]华侨大学工商管理学院,福建泉州362021

出　　处：《福建电脑》2020年第2期8-11,共4页Journal of Fujian Computer

基　　金：泉州市社会科学规划项目(No.2019D03);福建省中国特色社会主义理论体系研究中心项目(No.2019ZTD24)资助

摘　　要：本文从已有的文献数据进行梳理分析,挖掘舆情文献研究热点主题,利用知识图谱这一可视化工具,对舆情主题的变化进行可视化描述,直观地展示出舆情主题的演化,从作者、机构、关键词分析已有的研究内容和可以研究的突破点。未来舆情主题研究的趋势不再仅仅是建模和实验,而且还要倾向于利用其他知识综合分析。Through sorting and analyzing the existing literature data downloaded from CNKI,this paper mines hot topics of public opinion related literatures.Then,knowledge graph is used to visualize the change of public opinion theme,so the evolution process of public opinion theme can be visualized intuitively.Based on author,institution and keyword,the public opinion theme is analyzed to find existing hot topics and possible future breakthroughs.Unlike the conventional research method which uses modeling and experiment only,in the future,the research on public opinion theme tends to use other knowledge for comprehensive analysis.

关 键 词：知识图谱 舆情主题 可视化分析 关键词分析 

分 类 号：G202[文化科学—传播学]