Abstract
Nowadays, the application and popularization of new media such as Weibo, WeChat and QQ make big data’s age come quietly, which will have a great influence on people’s life style, personal thought and behavior, etc. On the basis of analyzing the massive data of college students, this paper designed and developed the prototype system of big data’s analysis for college students’ mental health education, predicted the tendency of students’ psychological behavior and constructed the individualized emergency management mechanism of college students’ psychological crisis, so that to enhance the real-time and effectiveness of the management of psychological crisis in colleges and universities, and to innovate the mental health education of college students.
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Xiong, W. (2020). Identification and Early Warning of College Students’ Psychological Crisis Based on Big Data. In: Huang, C., Chan, YW., Yen, N. (eds) Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019). Advances in Intelligent Systems and Computing, vol 1088. Springer, Singapore. https://doi.org/10.1007/978-981-15-1468-5_4
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DOI: https://doi.org/10.1007/978-981-15-1468-5_4
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