Recognition of 'Defense Cost Sharing' through Big Data
Focusing on Twitter
DOI:
https://doi.org/10.37944/jams.v3i1.64Keywords:
Defense cost sharing, Twitter, Word Cloud, Social Network, Latent Dirichlet AllocationAbstract
To study, Twitter, the social media, was selected and analyzed by applying word cloud, social network and LDA techniques as keywords. The results showed that the main key words based on frequency were "THADD", "resident in Korea," "rise," "burdened," and "negotiation," while the main key words considering word relationship and centrality were "THADD," "opposite," "cost," "deployment" and "aligned alliance." In addition, LDA technology has shown that 'THADD base construction costs', 'the withdrawal of U.S. troops from South Korea', 'Recommendation of unpaid leave of Korean workers' and 'the government's efforts to reopen negotiations' have become an issue in the current negotiation process related to 'defense cost sharing'.
Through this, it was possible to identify the key words that the public recognizes “defense-sharing expenses,” and furthermore, the government should pursue strategic negotiation policies in consideration of the key words and topics recognized by the people in order to achieve successful negotiation results.
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Copyright (c) 2020 Journal of Advances in Military Studies
This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License.
이 저작물은 크리에이티브 커먼즈 저작자표시 4.0 국제 라이선스에 따라 이용할 수 있습니다.