A Study of the Effectiveness of Popularized Perceptions of Religious Culture in the Context of Deep Learning on the Diffusion of Racial Justice Ideas

Abstract

In the long historical evolution of humanity, religion has always demonstrated social, and cultural patterns and historical forms and has silently influenced some people’s ideological concepts and moral behaviors at all stages of development. This paper uses deep learning to investigate how the popularization of religious culture affects the dissemination of the concept of racial justice. The LBP-ORB algorithm model is constructed for the popularization method of religious culture, which is based on the improvement of the ORB algorithm, and the cognitive degree of different religious cultures can be improved by feature extraction through the LBP-ORB algorithm model. The model of this paper will be compared experimentally and then through fieldwork. The LBP-ORB algorithm model will be used to extract the features of local religious culture and popularize the local youths. Based on the analysis results, we explore the effect of the popularization of the cognition of religious culture on the spread of the concept of racial justice. After the popularization of religious culture, the college student group and middle school student group’s knowledge of the concept of racial justice increased substantially, with the number of people familiar with the college student group increasing by 88 and the number of people with general knowledge increasing by 122. The number of people in the middle school student population who were familiar with it reached 112, and the number of people with a general understanding reached 92. This paper’s LBPORB algorithm model has significantly increased the dissemination of the concept of racial justice after popularizing religious culture.

Keywords

• lbp-orb algorithm
• orb algorithm
• feature extraction
• religious culture
• racial justice concepts
• 03b70