Multi Platform Public Opinion Risk Monitoring and Early Warning Algorithm Based on Multimodal Neural Network

The network is ubiquitous in our daily life. It has become an indispensable part of our daily life to use the network to spread and transmit various kinds of information. The use of neural networks for public opinion monitoring has become a current research hotspot. Ian order to improve the performance of the public opinion monitoring platform, we need to use multimodal neural network for in-depth research. This paper mainly uses experimental design and data comparison to make statistical analysis of public opinion monitoring data under different working conditions. The experimental data shows that when the number of concurrent is less than 100, the system in this paper can respond well and obtain more accurate public opinion data.