Prediction Method of College Students’ Negative Emotion Based on GA-BP Neural Network

This study proposes a negative emotion prediction method for college students based on GA-BP neural network. This method uses genetic algorithms to optimize the parameters of the BP neural network to improve the accuracy and precision of prediction. By collecting a large amount of emotion vocabulary and emotion annotation data, establish an emotion dictionary and emotion classifier, and then construct a prediction model. The experimental results indicate that this method can effectively monitor and predict negative emotions among college students, and provide timely psychological intervention measures for schools and individuals. This prediction method based on GA-BP neural network has good adaptability and generalization, and can be applied to other emotional prediction fields.