Research on International Relations Network based on Text Mining

With the rapid development of communication and information technology, people's information exchange and dissemination methods are becoming more and more convenient, which not only expands the depth of global information exchange, but also closely links countries in the world together, forming a huge and complex network of international relations. In this context, the formal method of relationship network is used to study international relations and other non-formal issues. Although a lot of research results have been obtained, there are also many research problems. Therefore, some scholars propose to use text mining method to study international relations network. On the basis of understanding the current research status of international relations network and combining the basic theory of information-knowledge-intelligence, this paper deeply discusses the international relations network with text mining as the core. The final experimental results show that the parsing number model and the conditional random field model achieve excellent results.