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http://dx.doi.org/10.14400/JDC.2019.17.2.195

A Study on Sentiment Analysis of Media and SNS response to National Policy: focusing on policy of Child allowance, Childbirth grant  

Yun, Hye Min (Department of Information Security, Seoul Women's University)
Choi, Eun Jung (Department of Information Security, Seoul Women's University)
Publication Information
Journal of Digital Convergence / v.17, no.2, 2019 , pp. 195-200 More about this Journal
Abstract
Nowadays as the use of mobile communication devices such as smart phones and tablets and the use of Computer is expanded, data is being collected exponentially on the Internet. In addition, due to the development of SNS, users can freely communicate with each other and share information in various fields, so various opinions are accumulated in the from of big data. Accordingly, big data analysis techniques are being used to find out the difference between the response of the general public and the response of the media. In this paper, we analyzed the public response in SNS about child allowance and childbirth grant and analyzed the response of the media. Therefore we gathered articles and comments of users which were posted on Twitter for a certain period of time and crawling the news articles and applied sentiment analysis. From these data, we compared the opinion of the public posted on SNS with the response of the media expressed in news articles. As a result, we found that there is a different response to some national policy between the public and the media.
Keywords
Sentiment Analysis; Big Data; SNS Analysis; Web Crawling; Media Analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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