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Deduction of Social Risk Issues Using Text Mining

  • Crisisonomy
  • Abbr : KRCEM
  • 2014, 10(7), pp.33-52
  • Publisher : Crisis and Emergency Management: Theory and Praxis
  • Research Area : Social Science > Public Policy > Public Policy in general

Jin Young, Won 1 김대곤 1

1국립재난안전연구원

Accredited

ABSTRACT

The signification of the study which is about predicting future risk factors and responding to risks comes to the fore as the society has been rapidly changing. The foresight studies are almost conducted through expert panel, but in the case of the study targeting ‘disaster’ that implies the uncertainty and complexity, it could reach the limit for expert’s subjective judgment. In this study, main topic mining and the deduction of social risk issues were conducted using text mining targeting news data. Social risk issues were examined with climate change adaptation policy. So it was considered that the suggested method could supplement the expert’s opinion objectively. Most deducted social risk issues were matched to climate change adaptation policy. So, if the suggested methodology is modified and supplemented, the data based foresight studies for disaster will be conducted effectively.

Citation status

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