Analysis of issues of interest in unification economic cooperation by visualizing big data on social networks

Abstract

This study aims to intuitively identify trends in public interest by performing visualization analysis on unification economic cooperation using social network user opinion big data. For the “Unification Economic Cooperation” big data, the related big data were extracted using the Textom analysis tool, and text mining was performed. The results were expressed as a visualization figure.
The results showed that, first, social network users were interested in North Korea's regional agricultural planning and education by the US and the government. Additionally, North Korea's rural villages existed in connection with pastoral and missionary words. An interest in how North and South Korea cooperate in investment and development in rural areas was identified. Second, there was an issue of interest in housing exchange and cooperation in North Korean villages by the community of club members as words such as club members → housing, common → housing, village → community exchange → cooperation were connected. Third, users were interested in culture and art. It would be useful to find and implement economic cooperation, a link between culture and art connected with North Korea's economic cooperation. Fourth, words such as technology, research, development, and dissemination were drawn as issues of interest. From the perspective of an integrated process, it is of interest to the general public to identify ways to implement it so that it can be pursued with economic benefits for both South and North Korea. Fifth, social network users were interested in the content of dot-com sites. The importance of the promotion of unification economic cooperation through these dot-com sites was confirmed.