This paper utilizes the combination of pattern recognition - SVM text classification technology and knowledge mapping to classify the text of the data originating from China Red Network and Red Culture Network, etc., and completes the construction of the knowledge mapping of red cultural resources. These cultural resources are integrated into the teaching process of ideological and political theory courses in colleges and universities for practical research purposes. And through regression analysis, the effectiveness of integrating cultural diversity in ideological and political education is explored. The results show that a total of 5,694 knowledge map entities related to red cultural resources were retained, and 7 types of attribute information were obtained for these entities. More than 50% of the student students are more satisfied with the integration of red cultural resources into the practical teaching of Civic and Political Education in colleges and universities. The regression equation of red cultural resources and civic education shows that R2 is 0.65889, indicating that red cultural resources play a significant role in civic education.