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基于文本挖掘的高校网络舆情研究热点及趋势分析

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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.
An Analysis of Hotspots and Trend of Online Public Opinions in Universities Based on Text Studies
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 aca-demic papers.The analysis was carried out from the macro and micro levels.At the macro level,based on the key-word 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 top-ics,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 in-crease.Finally,the paper looks forward to the research of online public opinion in universities,and puts forward the future research direction and research questions.

online public opinion in universitiestext studiesco-occurrence analysistopic modelresearch hotspot

黄钦、杨芳、朱礼龙、张秀娟

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巢湖学院 马克思主义学院,安徽 合肥 238000

巢湖学院 工商管理学院,安徽 合肥 238000

高校网络舆情 文本挖掘 共现分析 主题模型 研究热点

国家社会科学基金项目安徽省教育厅重点科学研究项目巢湖学院重点科学研究项目巢湖学院重点学科科研项目

20BTQ050SK2021A0612XWZ-202105kj17zdjsxk01

2024

宜春学院学报
宜春学院

宜春学院学报

影响因子:0.271
ISSN:1671-380X
年,卷(期):2024.46(1)
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