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소셜 네트워크 분석과 토픽 모델링을 활용한 설명 가능 인공지능 연구 동향 분석
문건두(Gun-doo Moon),김경재(Kyoung-jae Kim) 한국데이터전략학회 2023 Journal of information technology applications & m Vol.30 No.1
Artificial intelligence has become familiar with modern society, not the distant future. As artificial intelligence and machine learning developed more highly and became more complicated, it became difficult for people to grasp its structure and the basis for decision-making. It is because machine learning only shows results, not the whole processes. As artificial intelligence developed and became more common, people wanted the explanation which could provide them the trust on artificial intelligence. This study recognized the necessity and importance of explainable artificial intelligence, XAI, and examined the trends of XAI research by analyzing social networks and analyzing topics with IEEE published from 2004, when the concept of artificial intelligence was defined, to 2022. Through social network analysis, the overall pattern of nodes can be found in a large number of documents and the connection between keywords shows the meaning of the relationship structure, and topic modeling can identify more objective topics by extracting keywords from unstructured data and setting topics. Both analysis methods are suitable for trend analysis. As a result of the analysis, it was found that XAIs application is gradually expanding in various fields as well as machine learning and deep learning.
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소셜 네트워크 분석과 토픽모델링을 활용한 국내 ESG 연구동향
문건두(Gun-Doo Moon),김경재(Kyoung-Jae Kim),박호연(Ho-Yeon Park) 한국무역연구원 2022 무역연구 Vol.18 No.6
Purpose – The purpose of this study is to derive ESG-related trends covered in academic papers and newspaper articles through social network analysis and topic modeling. Design/Methodology/Approach – We used the data of 249 academic journals and 16,232 press articles for analysis. Findings – The results of this study show trends from various perspectives by analyzing papers and articles separately. Accordingly, it was confirmed that domestic ESG research is gradually expanding from social responsibility to environmental obligations. Research Implications – This study is meaningful in that the overall domestic trends in ESG management, a strategy for sustainable management in this era, were identified separately from academic studies and articles. It is effective in sharing the general knowledge of companies, and through the results, future complementary points for corporate competitiveness can also be discussed. It can also be referred to as basic data to identify and understand domestic ESG research topics, and to develop insights and directions for follow-up studies in sustainable management studies.
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