Application Analysis of NLP Technology in Understanding Psychological Intervention for College Students

Abstract

Given that the majority of university students are interested in mental health problems within their academic and social lives, how to apply state-of-the-art technologies for timely detection and response to the mental risks is becoming an active research area. NLP is the field that aims to understand texts, recognize sentiments in them, and perform deep semantics understanding. The present paper will discuss about the history and general technical structure of NLP which shows how much relevant is NLP for Psychological Health Intervention at College level. Moreover, this paper discusses the practical use of emotion analysis, monitoring of the public opinion, intelligent question answering systems, and automatic warning systems. By using the method of studying the campus wall data, this paper examines what can be inferred of the text content posted by students that reveals some possible emotional tendencies and mental issues. With these results, this paper also assesses the existing academic trends and their main challenges including the protection of data privacy and model accuracy, and envisions the further development opportunities. To sum up, the present research is intended to form a strong theoretical basis and give a useful technical perspective on enhancing the mental health education and optimizing the intervention plans in universities