2023 年 59 巻 Supplement 号 p. JS-02
This paper investigates the ChatGPT research landscape, key themes, and connections of recent studies in three major domains of computer science (CS), social science (SS), and medical (MED). 822 studies containing ‘ChatGPT’ in the title, keywords, and abstract were collected from research databases such as Scopus, Web of Science, and ScienceDirect. Excluding duplicates and papers without keywords, the distribution across domains for the remaining 660 papers is as follows: 189 in CS, 238 in SS, and 395 in MED.Using semantic network analysis, we examine keyword connections and concepts shared between papers, to understand how ChatGPT is being utilized across various fields. We perform modularity analysis to identify clusters of related studies and emerging research trends. The results of this study enhances the understanding of in three major domains. Our insights serve as a valuable guide for creating customized ChatGPT services, and help researchers make informed decisions for advancing the AI's applications.
