Study on Internet Negative Information Classification Method Based on the Optimization of SVM Model

In this paper, a network negative information classification method based on the optimization of the SVM model. The method based on SVM network negative information classification model is set up, aiming at the uncertain problems of related parameters in the model, the SVM to make use of artificial fish algorithm optimization, optimization of the SVM model is used to analyse the network negative information classification, so as to realize the network negative information classification. Experimental results show that the improved algorithm for network negative information classification can improve the accuracy and real-time network negative information classification, and effect is satisfactory.