Research on the Construction of Secondary Psychological Counseling Station in Colleges and Universities Under the “Internet+” Environment by Data Analysis

With the rapid development of Internet technology, psychological education in colleges and universities is facing unprecedented challenges. The characteristics of the “Internet +” era have affected the mental health of college students to a certain extent. At the same time, teachers' understanding and application of “Internet +” is far from enough. Therefore, under this new situation, how to use the power of cloud computing and data analysis to optimize the construction of secondary psychological counseling stations in colleges and universities and play their unique role in mental health education has become a new topic. Overall, the “Internet +” era has brought challenges as well as opportunities. The secondary psychological counseling stations in colleges and universities should actively apply new technologies such as cloud computing and data analysis to optimize services, improve work efficiency, and better serve college students' mental health. Based on the mental health data of college students obtained from big data, this paper adopts mean clustering and C4.5 algorithm to find out the factors leading to the mental health problems of college students through data analysis, and propose feasible solutions to the problems.