토픽모델링을 활용한 의료윤리 온라인 뉴스기사 분석

Objectives: In this paper, we analyzed online articles related to “medical ethics” using text mining techniques to identify the predominant topics and trends of these online articles. Method: Online news articles from 1966 to 2018 were collected from three newspapers’ websites, and a total of 2,336 articles were used for analysis. A python-based web scraping program was used to collect news articles, and topic modeling techniques based on the (LDA) algorithm were used for data analysis. Results: For the entire period, topics on ethics and law accounted for more than half of the total. When categorized by period, a high percentage was occupied by biotechnology until 2003, euthanasia and hospice from 2004 to 2012, and the high-tech medical industry after 2013. Conclusions: Our society has approached medical ethics issues related to technological development as applied ethics. From the stage of technological development, we must simultaneously consider legal and ethical issues.