Intelligent Integration Method of Ideological and Political Education Resources Based on Deep Mining

Abstract

An intelligent integration method of ideological and political education resources based on deep mining is proposed to address the problems of low accuracy, efficiency, and stability of resource integration in the current ideological and political education resource integration method. The ideological and political education resources are deeply mined by studying deep mining technology and applying the decision tree algorithm. Preprocess the text of ideological and political education materials after you've dug deep into the ideological and political education resources. Word segmentation based on user dictionary to remove rare words in ideological and political education resources. Based on the principle of educational information remote scheduling, the feature vector of ideological and political education resources is extracted, the characteristic variance contribution rate of ideological and political education resources is calculated, and the observable random vector of the characteristics of ideological and political education resources is obtained. To achieve intelligent integration of ideological and political education resources, the correlation degree is defined using the LDA model's subject text vector, and the text of ideological and political education resources is grouped using the bottom-up hierarchical clustering approach. The experimental results show that the proposed method has high accuracy and efficiency, and can effectively enhance the stability of the intelligent integration of ideological and political education resources.

Analysis the Innovation Path on Psychological Ideological with Political Teaching in Universities by Big Data in New Era

“…In order to solve the problems of low efficiency and poor stability of educational resources in the process of ideological with political teaching, it designs an intelligent the cognition Ideological with political resource integration model. Liu and Huang [ 21 ] use deep learning and data mining technology to integrate ideological with political-related educational resources. It uses the decision tree in data mining technology to deeply mine the content of the cognition Ideological with political resources, and then it integrates these the cognition Ideological with political resources.…”

Unmasking the challenges in ideological and political education in China: A thematic review

“…Qiu et al (2022) proposed a deep learning-based data resource sharing platform for ideological and political education, addressing resource allocation issues [ 59 ]. Rong (2021) presented a framework for integrating multimedia network teaching resources in middle school ideological and political courses [ 60 ] while Li and Huang (2022) proposed an intelligent integration method based on deep mining for ideological and political education resources [ 61 ].…”

Retracted: Intelligent Integration Method of Ideological and Political Education Resources Based on Deep Mining

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”