Public Opinion Prediction based on Markov Model

With the rapid development of the Internet in our country, the information on the Internet has spread rapidly like an explosion. The convenience of the Internet shortens the time it takes for people to exchange information, which is likely to cause the outbreak of hot-spot incidents of online public opinion. The public opinion orientation on the Internet will directly affect the real thoughts and behaviors of offline people. In order to avoid the occurrence of major influential public opinion events, timely grasping the hot topics discussed by people, and paying attention and positive guidance are important means of maintaining social harmony and stability. Markov logic network is a first-order logic knowledge base with additional weights for formulas. From the perspective of probability theory, Markov logic network provides a concise description language for Markov network, and can flexibly introduce a large amount of domain knowledge into Markov network. Therefore, this article studies the prediction model of public policy public opinion based on Markov model.