텍스트 분석을 활용한 과학기술이슈 여론 분석 방법론

• 영문명: A Methodology for Analyzing Public Opinion about Science and Technology Issues Using Text Analysis
• 발행기관: 한국IT서비스학회
• 저자명: 김다솜(Dasom Kim) William Xiu Shun Wong 임명수(Myungsu Lim) 류신(Chen Liu) 김남규(Namgyu Kim) 박준형․ (Junhyung Park) 길우영(Wooyeong Kil) 윤한술(Hansool Yoon)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제14권 제3호, 33~48쪽, 전체 16쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.09.30

영문 초록

Recently, many users frequently share their opinions on diverse issues using various social media. Therefore, many governments have attempted to establish or improve national policies according to the public opinions captured from the various social media. In this paper, we indicate several limitations of traditional approaches for analyzing public opinions about science and technology and provide an alternative methodology to overcome the limitations. First of all, we distinguish science and technology analysis phase and social issue analysis phase to reflect the fact that public opinion can be formed only when a certain science and technology is applied to a specific social issue. Next, we apply a start list and a stop list successively to acquire clarified and interesting results. Finally, to identify most appropriate documents fitting to a given subject, we develop a new concept of logical filter that consists of not only mere keywords but also a logical relationship among keywords. This study then analyzes the possibilities for the practical use of the proposed methodology thorough its application to discovering core issues and public opinions from 1,700,886 documents comprising SNS, blog, news, and discussion.

목차

1. 서 론

2. 관련 연구

3. 과학기술이슈 여론 분석 방법론

4. 실험

5. 결 론

키워드

Big Data Social Network Analysis Text Mining Topic Modeling