A Study of Antidepressant and Anxiety Interviews Based on HDP Topic Modelling of Sichuan University MD and Deputy Chief Physician of Shandong Provincial Hospital (Finding)

While diving deep into 22 core themes on depression and anxiety disorders, the HDP topic modelling approach is extended in this chapter by the Random Forest algorithm. We have focused on emotional expression, family therapy, school environment, and self-regulation-the real influential factors to mental health. It first involves data collection and preprocessing, where, based on a number of metrics-such as model perplexity and thematic coherence-we establish the stability and explanatory power of the model. These metrics have helped us to find out how many themes are sufficient and thus provided sufficient ground for further analysis. The second step included the implementation of the Random Forest algorithm, which is an integrated learning approach and hence summed up the results of a number of modelling sessions. In this way, we extracted descriptions and keywords for every theme; hence, the relation among themes of emotional expression and mental health could be closely cross-linked to depression and anxiety. A series of intuitive presentation analyses were done in order to visualize the findings intuitively: keyword frequency statistics charts, keyword word cloud charts, and heat maps, which vividly present the core findings of this study. From these figures, we could visually get the correlation of different keywords and their importance in the whole study. In conclusion, emotional expression is highlighted as the core mechanism in keeping mental health. While family and school is an important part of one's social support system, being a non-negligible influence on regulating emotional expression and mental health. Additionally, it is a decent method of self-regulating one's life stresses and reducing symptoms of anxiety and depression. The study has not only enhanced our understanding of the underlying complex psychological mechanism of depression and anxiety but also scientifically grounded the basis for some mental health interventions in the future. These findings help us in better supporting the sufferers of psychological problems and finding ways of restoring their mental health.