摘要
为系统分析国内高校网络舆情研究热点及研究趋势,采用共现分析、LDA主题模型等文本挖掘方法对国内高校网络舆情研究的学术论文进行分析。从宏观和微观两个层面展开分析,宏观层面以关键词共现网络为基础,利用社区挖掘方法抽取关键词语义社区,分析高校网络舆情主要研究内容;微观层面以学术论文摘要语料库为基础,利用LDA主题模型抽取潜在研究主题,度量主题强度及其演化趋势,发现当前研究热点。研究结果发现当前国内高校网络舆情有6大热点研究主题,其中高校网络舆情引导、监测和演化分析的研究热度将持续增强。最后对高校网络舆情研究进行展望,提出未来研究方向和研究问题。
In order to systematically analyze the hot spots and trends of online public opinion research in domestic universities,text mining methods such as co-occurrence analysis and LDA topic model ware used to analyze academic papers.The analysis was carried out from the macro and micro levels.At the macro level,based on the keyword co-occurrence network,the semantic communities of keywords were extracted by using the community mining method to analyze the main research content of online public opinion in universities.At the micro level,based on the corpus of academic paper abstracts,the LDA topic model was used to extract potential research topics,measure topic intensity and its evolution trend,and find current research hotspots.The research results show that there are six hot research topics on online public opinion in domestic universities,among which the research intensity of guidance,monitoring and evolution analysis of online public opinion in universities will continue to increase.Finally,the paper looks forward to the research of online public opinion in universities,and puts forward the future research direction and research questions.
作者
黄钦
杨芳
朱礼龙
张秀娟
HUANG Qin;YANG Fang;ZHU Li-long;ZHANG Xiu-juan(College of Marrism,Chaohu University,Hefei 238000,China;College of Business Administration,Chaohu University,Hefei 238000,China)
出处
《宜春学院学报》
2024年第1期24-31,共8页
Journal of Yichun University
基金
国家社会科学基金项目“传播特征视角的重大突发事件网络谣言识别系统构建”(项目编号:20BTQ050)
安徽省教育厅重点科学研究项目“疫情防控下高校网络舆情演化特征分析及引导对策研究”(项目编号:SK2021A0612)
巢湖学院重点科学研究项目“疫情背景下高校网络舆情引导和风险防控对策研究”(项目编号:XWZ-202105)
巢湖学院重点学科科研项目“马克思主义理论重点建设学科”(项目编号:kj17zdjsxk01)
关键词
高校网络舆情
文本挖掘
共现分析
主题模型
研究热点
online public opinion in universities
text studies
co-occurrence analysis
topic model
research hotspot
