Construction of Mental Health Education Model for College Students Based on Fine-Grained Parallel Computing Programming

Psychological education is beneficial in maintaining the psychological health of college students, resolving issues, and creating a harmonious campus society. Mental for students development-oriented basic activity that contributes significantly to educational quality. To improve accuracy students' mental assessments, model based on fine-grained parallel computing programming proposed. This study uses deep learning algorithm subdivide classification an emotion dictionary, which can be classified by adding negative word lists, polarity conversion dictionaries, online among other things, theory ecological instantaneous evaluation. It used both multiclass detailed analysis. The more accurate assessing according results study. current emotional state users identified, as well signs risk, using analysis Weibo data, will become valuable resource seeking clinical consultation future.