Analysis of the Impact of Literary Works on College Students' Mental Health Based on Intelligent Data

Abstract

In order to explore the impact of literary works on college students' mental health, this paper explores the impact of literary works on college students' mental health through intelligent data analysis methods. Moreover, this paper improves the algorithm and builds the corresponding model, and the effect of the model is verified by experiments. In addition, this paper analyzes the whole process of building the mental state perception model in detail, and provides a model building method for model experiments. Finally, this paper studies several psychological parameters of the control group and the experimental group, including self-esteem, self-confidence, communication ability, and anti-stress ability through experimental research. From the experimental research, it can be seen that there is a certain gap between two groups of objects in terms of self-esteem, self-confidence, communication ability, and anti-stress ability. The mental health improvement effect of the experimental group is significantly better than that of the control group. This verifies that literary works have certain advantages in improving the mental health of college students.