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논문 기본 정보

자료유형
학술저널
저자정보
Jung, Yong Han (Gyeongsang National University) Seo, Min Song (Gyeongsang National University) Yoo, Hwan Hee (Gyeongsang National University)
저널정보
대한공간정보학회 대한공간정보학회지 한국지형공간정보학회지 제24권 제2호
발행연도
2016.6
수록면
55 - 62 (8page)

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초록· 키워드

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Economic and social damages are expected due to yellow dust, occurring every year in Korea and risk of citizens is getting higher accordingly. This study acquired tweet data for yellow dust, which had been the greatest since 2009 for 11 days before and after February 23, 2015. After that, it conducted an analysis on the issue words and association rule. Regarding acquired tweet data, the results of analyzing issue words by using open source R, statistics language shows that ‘Mask’ was ranked to be the highest, followed by health-related issue words. This indicates that people put the priority in the use of mask for keeping their health, as a result of the occurrence of yellow dust, and subsequently, they showed an interest in diseases, caused by yellow dust. In addition, yellow dust-related diseases, ‘cold’, ‘rhinitis’, ‘flu’, ‘asthma’, ‘bronchitis’ were found as issue words, revealing that people had a high concern on the disease occurrence of the respiratory system. The analytical results are judged to reflect the citizen’s thought effectively in the process of establishing measures for the prevention of yellow dust.

목차

Abstract
1. Research Background and Purpose
2. Research Theory and Methods
3. Result Analysis
4. Conclusions
References

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