Research on green port based on LDA model and CiteSpace bibliometric analysis

Abstract

With the rapid development of computer and Internet technology, digital information has shown an explosive growth. Traditional text clustering models suffer from high data dimensionality, sparse data and lack of semantic understanding. This paper uses CiteSpace bibliometric analysis and LDA model hierarchical clustering method to visualise and analyse the evolution process and research frontiers of the green port knowledge domain, which has certain practical significance for the in-depth promotion of green port practices in China.