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Analysis of the Yearbook from the Korea Meteorological Administration using a Text-Mining Algorithm

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dc.contributor.authorLee, Yung-Seop-
dc.contributor.authorLim, Changwon-
dc.contributor.authorSun, Hyunseok-
dc.date.accessioned2024-08-08T06:30:50Z-
dc.date.available2024-08-08T06:30:50Z-
dc.date.issued2017-12-13-
dc.identifier.issn2093-7121-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/19002-
dc.description.abstractThe development of the Internet and computer technology has enabled the storage of digital forms of documents that has resulted in an explosion of the amount of textual data generated. We analyzed the trends in the Meteorological Yearbook of the KMA and analyzed trends of weather related news, weather status, and status of work trends that the KMA focused on. This study is to provide useful information that can help analyze and improve the meteorological services and reflect meteorological policy.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleAnalysis of the Yearbook from the Korea Meteorological Administration using a Text-Mining Algorithm-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.23919/ICCAS.2017.8204284-
dc.identifier.scopusid2-s2.0-85044450263-
dc.identifier.wosid000426974400286-
dc.identifier.bibliographicCitation2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), v.2017-October, pp 2012 - 2014-
dc.citation.title2017 17TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS)-
dc.citation.volume2017-October-
dc.citation.startPage2012-
dc.citation.endPage2014-
dc.type.docTypeProceedings Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.subject.keywordAuthorText-mining-
dc.subject.keywordAuthorUnstructured format-
dc.subject.keywordAuthorThe Korea Meteorological Administration-
dc.subject.keywordAuthorWord cloud-
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