Big Data Mining and Analysis of Hot Issues in International Education—Based on K-means algorithm of cluster analysis

摘要

in the era of big data, international education has accumulated a lot of relevant data, which can produce various research values. The Corona Virus Disease 2019 (COVID-19) seriously affects the development of international education. This paper starts with the hot spots of international education and international higher education. Moreover, based on xinhuanet.com database and CSSCI database, and through K-means algorithm in data mining clustering analysis algorithms, the Cite Space visual software is used to make keywords analysis, emotional color analysis, and centrality analysis, thus getting the hot issues in international education and the frontier focus. Furthermore, combined with COVID-19 spread globally, these problems are analyzed, the future direction and development of international education are discussed, and reasonable and scientific suggestions and thinking are proposed.