Research on the Application of international Relations Network based on Text Mining

Abstract

In the innovation and development of communication systems and information technology, information exchange and dissemination in various fields are becoming more and more convenient, which not only expands the depth of communication on a global scale, but also connects countries in the world closely together, forming a huge and complex network of international relations. In this context, researchers hope to analyze the network structure through the network method, clarify the influence of different relations on the international situation and the composition of hotspot events, and explore the development law of relations between different countries, so as to provide an effective basis for the construction and development of economic globalization. Therefore, based on the understanding of international relations in recent years, the network application research status quo, on the basis of using text mining methods to study international relations, fast in a complicated information system to obtain valuable content, finally in the large text to build international relations network, expand the practice research of data source, solve the problem of network information explosion. The final results show that the application of international relations network based on text mining has achieved good results.