ESG와 문화예술의 관계 및 이슈 분석 : 뉴스 데이터를 활용한 LDA 토픽모델링 분석을 중심으로

초록

As the importance of ESG management gets emphasized worldwide, the subjects of ESG management such as corporations, governments, and local administrations are making various efforts to practice ESG management effectively and relay their endeavor and outcome to the investors and consumers. It is found in various researches that culture and art activities by corporations have a positive influence both internally and externally, and corporations engage with culture and art as a part of ESG management for the sake of profit and sustainability. However, studies on the relationship between ESG management and culture and art are insufficient. This research, therefore, aims to identify and analyze the issues and socio-cultural relationship between ESG and culture and art via news data analysis. Frequency analysis, TF-IDF analysis, word cloud, and topic modeling were conducted for news articles that include the words “ESG” and “art” simultaneously. By doing so, this paper identified and visualized frequently appearing keywords and important keywords respectively in news articles, and analyzed the semantic structure and pattern through topic modeling. As a result, “social contribution,” “support,” “environment,” “global,” and “COVID-19” turned out to be the most frequently appearing keywords, and TF-IDF analysis revealed that “exhibition,” “social contribution,” “artist,” “support,” “artwork,” and “performance” are the important keywords. Topic modeling using LDA presented five topics: “Environment, Culture and Arts”, “Citizen-centered ESG”, “Fusion with Technology”, “Cultural and Arts activities of a Corporations”, and “ESG Issues and Problems”. This paper defined and analyzed the subject of each topic. This research demonstrates an unprecedented analysis of the relationship between ESG and culture and art and their issues through text mining and suggests foundational data for establishing ESG strategies using culture and art.

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