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http://dx.doi.org/10.7472/jksii.2018.19.4.53

Social Media Analysis Based on Keyword Related to Educational Policy Using Topic Modeling  

Chung, Jin-myeong (School of Information Security, Kyungpook National Univ.)
Park, Young-ho (School of Electronics Engineering, Kyungpook National Univ.)
Kim, Woo-ju (Department of Industrial Engineering, Yonsei Univ.)
Publication Information
Journal of Internet Computing and Services / v.19, no.4, 2018 , pp. 53-63 More about this Journal
Abstract
The traditional mass media function of conveying information and forming public opinion has rapidly changed into an environment in which information and opinions are shared through social media with the development of ICT technology, and such social media further strengthens its influence. In other words, it has been confirmed that the influence of the public opinion through the production and sharing of public opinion on political, social and economic changes is increasing, and this change is already in use on the political campaign. In addition, efforts to grasp and reflect the opinions of the public by utilizing social media are being actively carried out not only in the political area but also in the public area. The purpose of this study is to explore the possibility of using social media based public opinion in educational policy. We collected media data, analyzed the main topic and probability of occurrence of each topic, and topic trends. As a result, we were able to catch the main interest of the public(the 'Domestic Computer Education Time' accounted for 43.99%, and 'Prime Project Selection' topics was 36.81% and 'Artificial Intelligence Program' topics was 7.94%). In addition, we could get a suggestion that flexible policies should be established according to the timing of the curriculum and the subject of the policy even if the category of the policy is same.
Keywords
education policy; public opinion based on Social media; topic modeling;
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Times Cited By KSCI : 4  (Citation Analysis)
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