Analysis on the Influencing Factors of the Anxiety and Depression Phenomenon of College Students’ Employment Psychology Based on Immersive Online Gaming Analysis and Deep Learning

Abstract

In order to explore the influencing factors of the anxiety and depression phenomenon of college students' employment psychology, this paper applies deep learning to the analysis of related factors. According to the characteristics of psychological factor data, this paper combines deep learning algorithm to propose a processing algorithm of employment psychology data based on deep learning. Moreover, this paper validates and analyzes the algorithm processing data flow and processing effect, and studies the influencing factors of the anxiety and depression phenomenon of college students' employment psychology in combination with survey interviews. In addition, this paper explores the impact of college graduates’ psychological resilience and self-differentiation on employment anxiety, and the mediating role of self-differentiation between psychological resilience and employment anxiety. Finally, this paper verifies the effectiveness of this algorithm through experimental research.