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Literature Analysis of Xi Jinping's Important Expositions on Ideological and Political Education Based on Cluster Analysis

机译:基金平基于集群分析的思金平对思想政治教育的重要阐述文献分析

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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.
机译:西金平对思想政治教育的重要阐述是对新时代的中国特色思想思想的重要组成部分。文献是来自中国核心核心日志的核心期刊标准和CNKI上的CSSCI期刊数据库。群集分析是指将物理或抽象对象的集合分析到由类似对象组成的多个类中的分析过程,而文本群集分析是用于在文本中提取隐藏主题的建模方法,这些方法侧重于从文本特征的相似性群集文本。它有许多不同的算法,例如k-means,分层凝聚聚类和图形社区检测。与传统算法相比,光谱聚类是一种基于图论的聚类方法,它更适应数据分布并具有出色的聚类效果。因此,本文使用光谱聚类来发现当前的中国研究状态和热点,以集群网络的形式显示,呈现要扩大的研究内容,缺乏创新,对理论起源和内部法律的探索不足和机制。

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