Abstract This paper reviewed the temporal changes in the public opinions on nuclear energy in Korea with a big data analysis of nuclear energy-related articles and their comments posted on the portal site NAVER. All articles that included at least one of “nuclear energy,” “nuclear power plant (NPP),” “nuclear power phase-out,” or “anti-nuclear” in their titles or main text were extracted from those posted on NAVER in January 2010–December 2019. First, we performed annual word frequency analysis to identify what words had appeared most frequently in the articles. For that period, the most frequent words were “NPP,” “nuclear energy,” and “energy.” In addition, “sa...
free text keywords: Nuclear Energy and Engineering, Articles and comments, Nuclear energy, Sentiment analysis, Big data analysis, Public opinion, History, Information retrieval, Nuclear power plant, law.invention, law, Big data, business.industry, business, Word frequency analysis, Sentiment analysis, Nuclear power, lcsh:Nuclear engineering. Atomic power, lcsh:TK9001-9401
You have been invited to join Welcome to EnerMaps Gateway! Find the latest scientific data. Research Community Dashboard as a manager. Fill in the verification code, sent to your email, to accept the invitation request.
We are unable to process the request because the link is invalid, or it has expired.