A Collecting Model of Public Opinion on Social Disaster in Twitter: A Case Study in ‘Humidifier Disinfectant’


KIPS Transactions on Software and Data Engineering, Vol. 6, No. 4, pp. 177-184, Apr. 2017
10.3745/KTSDE.2017.6.4.177,   PDF Download:
Keywords: Social Disaster, Public Opinion Collecting, Social Media, Humidifier Disinfectant
Abstract

The abstract should concisely state what was done, how it was done, principal results, and their significance. It should be less than 300 words for all forms of publication. Recently social disasters have been occurring frequently in the increasing complicated social structure, and the scale of damage has also become larger. Accordingly, there is a need for a way to prevent further damage by rapidly responding to social disasters. Twitter is attracting attention as a countermeasure against disasters because of immediacy and expandability. Especially, collecting public opinion on Twitter can be used as a useful tool to prevent disasters by quickly responding. This study proposes a collecting method of Twitter public opinion through keyword analysis, issue topic tweet detection, and time trend analysis. Furthermore we also show the feasibility by selecting the case of humidifier disinfectant which is a social issue recently.


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Cite this article
[IEEE Style]
J. Park, P. Ryu, H. Oh, "A Collecting Model of Public Opinion on Social Disaster in Twitter: A Case Study in ‘Humidifier Disinfectant’," KIPS Transactions on Software and Data Engineering, vol. 6, no. 4, pp. 177-184, 2017. DOI: 10.3745/KTSDE.2017.6.4.177.

[ACM Style]
JunHyeong Park, Pum-Mo Ryu, and Hyo-Jung Oh. 2017. A Collecting Model of Public Opinion on Social Disaster in Twitter: A Case Study in ‘Humidifier Disinfectant’. KIPS Transactions on Software and Data Engineering, 6, 4, (2017), 177-184. DOI: 10.3745/KTSDE.2017.6.4.177.