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Public Opinion Sensing and Trend Analysis on Social Media : A Study on Nuclear Power on Twitter
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- 발행기관
- 보안공학연구지원센터(IJMUE) 바로가기
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- 간행물
- International Journal of Multimedia and Ubiquitous Engineering SCOPUS 바로가기
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- 통권
- Vol.9 No.11 (2014.11)바로가기
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- 페이지
- pp.373-384
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A235305
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Due to their popularity and rapid propagation capability, social media have become important communication channel on public opinions because they work as a main virtual space to raise new public issues, discussion on these issues, and make opinion directions on them. With the recognition of the importance of social media, many enterprises and governments try to use social media as marketing tools or public opinion sensing tools. Nuclear power has become one of trending public issues in Korea after Fukushima nuclear disaster. Nuclear power is a double-edged sword because it is the most efficient way to generate electricity currently and it also has dangerous potential risk such as radiation leakage. Governments and policy makers need to monitor public opinion on nuclear power continuously because it can be changed depending on related events. In this study, we aim to propose an approach to sense public opinions on nuclear power and to analyze their trend based on opinion mining techniques. Also we propose a measure to trace the changes on directions of public opinion on nuclear power. To show the usefulness of the proposed approach, we had gathered tweets on nuclear power in Korean from 2009 to 2013. After classification of tweets from 2009 to 2011, sentimental dictionary including positive and negative terms had been constructed. The performance testing using tweets from 2012 to 2013 showed that the proposed approach can be applied in practice.
목차
Abstract
1. Introduction
2. Issues on Nuclear Power
3. Public Opinion and Social Trends
4. Opinion Mining
5. Proposed Approach and Experimental Design
5.1. Crawling and Cleansing on Social Media Data
5.2. Sentimental term Extraction
5.3. Construction of a Sentiment Dictionary
5.4. Tweets Sentiment Classification
6. Experimental Results
7. Public Opinion Index of Nuclear Power
8. Conclusion and Future Research Issues
Acknowledgements
References
키워드
Public Opinion Mining Sentiment Analysis Nuclear Power저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Multimedia and Ubiquitous Engineering
- 간기
- 월간
- pISSN
- 1975-0080
- 수록기간
- 2008~2016
- 등재여부
- SCOPUS
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.11
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