{"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
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.