원문정보
초록
영어
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.
목차
Ⅰ. 서론
1. 연구의 필요성
Ⅱ. 연구방법
1. 전체 처리 과정
2. 데이터 수집
3. 데이터 전처리
4. 토픽 모델링 기반의 데이터 분석
Ⅲ. 연구결과
1. 1966년-2003년 기사 토픽분석
2. 2004년-2011년 기사 토픽분석
3. 2012년-2018년 기사 토픽분석
4. 트렌드 분석
Ⅳ. 고찰
Ⅴ. 결론
REFERENCES