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Towards better bilateral policy making decisions: Investigation of australia-related issues in Korean media through keyword analysis

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dc.contributor.authorKim, Hwa Jong-
dc.contributor.authorKim, Tae Sung-
dc.contributor.authorKwon, Hyuk Min-
dc.contributor.authorPark, Dae Seo-
dc.contributor.authorSrednik, Elizaveta-
dc.contributor.authorCha, Kyung Jin-
dc.date.accessioned2021-08-02T12:51:20Z-
dc.date.available2021-08-02T12:51:20Z-
dc.date.created2021-05-14-
dc.date.issued2018-11-
dc.identifier.issn1992-8645-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/15908-
dc.description.abstractAlong with the growth of Big Data age, the value of analytics using data is improving and contributes to the new value creation. Moreover, data from news articles becomes important to identify and predict economic activities. Nowadays, a lot of studies are being done using news articles to investigate the economic phenomenon. Present study analyzes which issues have received attention in Korea by using Australian news data reported in Korea. Based on this study we aim to analyze Korea`s perception of Australia and further improve relationship between Korea and Australia by helping to strengthen bilateral policy decisions by using news textual analysis.-
dc.language영어-
dc.language.isoen-
dc.publisherLittle Lion Scientific-
dc.titleTowards better bilateral policy making decisions: Investigation of australia-related issues in Korean media through keyword analysis-
dc.typeArticle-
dc.contributor.affiliatedAuthorCha, Kyung Jin-
dc.identifier.scopusid2-s2.0-85057722345-
dc.identifier.bibliographicCitationJournal of Theoretical and Applied Information Technology, v.96, no.22, pp.7395 - 7405-
dc.relation.isPartOfJournal of Theoretical and Applied Information Technology-
dc.citation.titleJournal of Theoretical and Applied Information Technology-
dc.citation.volume96-
dc.citation.number22-
dc.citation.startPage7395-
dc.citation.endPage7405-
dc.type.rimsART-
dc.type.docType정기학술지(Article(Perspective Article포함))-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorAustralia-
dc.subject.keywordAuthorBig data-
dc.subject.keywordAuthorKorea-
dc.subject.keywordAuthorNews articles-
dc.subject.keywordAuthorTextual analysis-
dc.identifier.urlhttp://www.jatit.org/volumes/Vol96No22/7Vol96No22.pdf-
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