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Research of improved SVM model based on GA in E-learning emotion classification

Aiming at the problem of different learning emotions in the integrated emotion model of the emotion recognition interactive E-learning system, this paper proposed an improved SVM classification algorithm to classify the learning emotions, optimized the parameters of the SVM classifier with Genetic Algorithm, and applied it to the emotion classification of E-learning system. It has achieved good results based on relevant experiments.