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Big data Analysis on The Management Content of College Students' Mental Health Education

To solve the problems of big data demand and data awareness low, data storage demand and storage technology backward in health education in Colleges and universities, this paper integrates modern information technology into the field of mental health education of college students. Based on the detailed analysis and comparison of various classification algorithms, combined with the characteristics of psychological problem data, C4.5 decision tree algorithm is selected to construct a decision tree model for the psychological problem of symptoms, and uses it to predict the psychological problems of college students. Then the structure model of negative psychology is established by decision tree, and the potential groups with anxiety and depression are found by using clustering technology. The cause analysis based on actual data can provide reliable basis for psychological educators, to improve the efficiency and effectiveness of school psychological consultation.