Microblog Platform Oriented User Mental Health Warning Mechanism Research

Social network represented by microblog, has become an important platform for gathering personal life trajectory and emotional information, which also opened a new direction for the current research. By collecting students´ microblog information, we can identify the signs of risk, and help students to accept clinical screening and psychological counseling in the future. A multi-level psychological warning model based on personality, mood and emotion space is designed in the thesis. A microblog emotion warning system based on the model of psychological warning is proposed. The testing results verify the validity of the scheme. A multi-level psychological warning model based on personality, mood and emotion space is designed, which has fully taken into account the human cognitive factors of personality, temperament, external stimuli to simulate the occurrence and change process of human emotion. The testing results show that the proposed algorithm has good performance and the current emotional state of a specific person can be inferred.