Campus Network Public Opinion Monitoring System Based on Reptile Technology

This paper conducts a lot of research on campus network public opinion analysis, and uses the hybrid crawling strategy commonly used in academic circles to focus on the key technologies of network public opinion analysis such as information preprocessing, Chinese word segmentation and topic recognition. Finally, the analytic hierarchy process and wavelet neural network are used to design the public opinion analysis system, and all the modules in the system are organically combined to develop an efficient and feasible network public opinion monitoring system, and the Sade event is taken as an example to express the public opinion. Analysis and trend prediction, the experimental results show that the system has good evaluation performance and estimation accuracy.