{"title":"Literature Analysis of Xi Jinping's Important Expositions on Ideological and Political Education Based on Cluster Analysis","authors":"Shujun Wang, Xiaoshen Cai","doi":"10.1109/ICEKIM52309.2021.00179","DOIUrl":null,"url":null,"abstract":"Xi Jinping's important expositions on ideological and political education is an important part of Thought on Socialism with Chinese Characteristics for a New Era. The literatures are from the Chinese core journal criterion of PKU and the CSSCI journal database on CNKI. Cluster analysis refers to the analysis process of dividing a collection of physical or abstract objects into multiple classes composed of similar objects, and text clustering analysis is a modeling method for extracting hidden topics in text, which focuses on clustering text from the similarity of text features. There are many different algorithms for it, such as k-means, hierarchical agglomerative clustering, and graph community detection. Compared with traditional algorithms, spectral clustering is a clustering method based on graph theory, and it is more adaptable to data distribution and has excellent clustering effects. Therefore, this paper uses spectral clustering to discover the current research status and hot spots in China, which are shown in the form of a clustered network, presenting the research content to be expanded, lack of innovation, insufficient exploration of theoretical origins and internal laws and mechanisms.","PeriodicalId":337654,"journal":{"name":"2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Education, Knowledge and Information Management (ICEKIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEKIM52309.2021.00179","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

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文献来源于北京大学中文核心期刊标准和中国知网CSSCI期刊数据库。聚类分析是指将物理或抽象对象的集合划分为由相似对象组成的多个类的分析过程,文本聚类分析是一种提取文本中隐藏主题的建模方法,其重点是从文本特征的相似度对文本进行聚类。它有许多不同的算法,如k-means、分层聚类和图社区检测。与传统算法相比,谱聚类是一种基于图论的聚类方法,对数据分布的适应性更强,聚类效果优异。因此,本文采用光谱聚类的方法发现国内的研究现状和热点,以集群网络的形式呈现,研究内容有待拓展,缺乏创新,对理论渊源和内在规律机制的探索不足。
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Literature Analysis of Xi Jinping's Important Expositions on Ideological and Political Education Based on Cluster Analysis
Xi Jinping's important expositions on ideological and political education is an important part of Thought on Socialism with Chinese Characteristics for a New Era. The literatures are from the Chinese core journal criterion of PKU and the CSSCI journal database on CNKI. Cluster analysis refers to the analysis process of dividing a collection of physical or abstract objects into multiple classes composed of similar objects, and text clustering analysis is a modeling method for extracting hidden topics in text, which focuses on clustering text from the similarity of text features. There are many different algorithms for it, such as k-means, hierarchical agglomerative clustering, and graph community detection. Compared with traditional algorithms, spectral clustering is a clustering method based on graph theory, and it is more adaptable to data distribution and has excellent clustering effects. Therefore, this paper uses spectral clustering to discover the current research status and hot spots in China, which are shown in the form of a clustered network, presenting the research content to be expanded, lack of innovation, insufficient exploration of theoretical origins and internal laws and mechanisms.
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