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

Chen Shi; Ding Qian; Liang Ke

doi:10.1117/12.2679115

14 June 2023 Research on green port based on LDA model and CiteSpace bibliometric analysis

Chen Shi, Ding Qian, Liang Ke

Proceedings Volume 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023); 127250J (2023) https://doi.org/10.1117/12.2679115
Event: International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 2023, Suzhou, China

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.

Citation Download Citation

Chen Shi, Ding Qian, and Liang Ke "Research on green port based on LDA model and CiteSpace bibliometric analysis", Proc. SPIE 12725, International Conference on Pure, Applied, and Computational Mathematics (PACM 2023), 127250J (14 June 2023); https://doi.org/10.1117/12.2679115

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