Psychological Portrait of College Students from the Perspective of Big Data

In view of the drawbacks of passive, lag and traditional mental health education for college students, this paper puts forward a psychological portrait strategy for college students based on big data. Through the use of large data network and campus application system to obtain all kinds of information of students, a complete "data acquisition, data analysis, data feedback" chain is formed, and the "random forest model based on the construction of data portrait evaluation model" is used to match the mental health measurement indicators, and finally the radar map is used to generate students' psychological portraits. Based on the mechanism of student portrait, the early warning of college students' mental health is realized, which provides an effective and feasible implementation path for the monitoring of college students' mental health, and has a certain practical reference value for guiding the mental health of college students.