我国评论挖掘与情感分析领域研究现状  

Research status of comment mining and sentiment analysis in China

作　　者：徐恒[1] 张梦璐 钟镇[1] XU Heng;ZHANG Meng-lu;ZHONG Zhen(School of Management,Henan University of Technology,Zhengzhou 450000,China)

机构地区：[1]河南工业大学管理学院,河南郑州450000

出　　处：《吉林师范大学学报（自然科学版）》2020年第3期51-61,共11页Journal of Jilin Normal University:Natural Science Edition

基　　金：国家自然科学基金项目(71603073);河南省属高校基本科研业务费专项资金项目(2014YWQQ23)。

摘　　要：以中国知网(CNKI)数据库中2003—2018年间2857篇主题为评论挖掘或情感分析的文献为数据源,综合运用文献计量、科学计量和数据可视化等研究方法,借助CiteSpace、SPSS和Ucinet等分析工具,深入考察我国评论挖掘与情感分析研究领域的发展现状和研究热点.结果表明,当前该领域的研究内容主要集中在舆情监控与事件监测、技术方法和商业智能等主题;同时存在基于本体的相关研究欠缺和忽略用户评论表达方式的改变、语料词库尚不规范等不足;今后该领域的发展将会聚焦于短文本、跨学科应用和在线评论的经济价值等方向.2857 articles with the topic“opinion mining”or“sentiment analysis”from the CNKI database during 2003 to 2018 were taken as research data resources,this paper made an in-depth study on the development status and research hotpots in the fields of opinion mining and sentiment analysis in China by using CiteSpace,SPSS,Ucinet and other analytical tools,and by using the theory of bibliometrics,scientometrics and data visualization.The results show that the research contents of this topic mainly focus on public opinion monitoring and event monitoring,technical methods and business intelligence;meanwhile,there are some deficiency in this research field,such as insufficient ontology-based research,ignoring changes in the expression of user comments and unstandardized corpus vocabularies;the future research of this field will focus on short text,interdisciplinary application,and the economic value of online comments.

关 键 词：评论挖掘 情感分析 文献计量 知识图谱 

分 类 号：G353[文化科学—情报学]