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정근석

Chung, Keunsuk
Applied Macro Lab.
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dc.citation.number 5 -
dc.citation.startPage 1820 -
dc.citation.title APPLIED SCIENCES-BASEL -
dc.citation.volume 14 -
dc.contributor.author Han, Kiuk -
dc.contributor.author Yeom, Jaesun -
dc.contributor.author Chung, Keunsuk -
dc.date.accessioned 2024-04-12T16:05:13Z -
dc.date.available 2024-04-12T16:05:13Z -
dc.date.created 2024-04-11 -
dc.date.issued 2024-03 -
dc.description.abstract Identification of emerging issues has garnered growing interest as a way to establish proactive policy formulation. However, in fisheries research, analyzing such issues has largely depended on the literature or researchers' judgment. We use keyword analysis, targeting news application programming interfaces (News APIs) (72,981 news sources and blogs), to investigate issues in the global seafood industry from January 2019 to March 2022. Among a variety of topics identified by year and country, in general, seafood market function, health, and tariffs were the main issues in 2019, while COVID-19-related issues were primarily mentioned between 2020 and 2021. After 2022, the role of the market regained attention, and various new issues rose to the surface. To identify emerging issues, we jointly employ dynamic time warping (DTW) and growth models, which derive several keywords, including coercion, cuisines, food safety, ketones, plastic ingestions, seafood alcohol, urbanization, wastewater treatment, and the World Trade Organization (WTO). High interest in food safety, environmental change, trade conflict, and seafood value improvement reveal the need for proper policy responses. -
dc.identifier.bibliographicCitation APPLIED SCIENCES-BASEL, v.14, no.5, pp.1820 -
dc.identifier.doi 10.3390/app14051820 -
dc.identifier.issn 2076-3417 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/82239 -
dc.identifier.wosid 001182597800001 -
dc.language 영어 -
dc.publisher MDPI -
dc.title Identifying Emerging Issues in the Seafood Industry Based on a Text Mining Approach -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Chemistry, Multidisciplinary; Engineering, Multidisciplinary; Materials Science, Multidisciplinary; Physics, Applied -
dc.relation.journalResearchArea Chemistry; Engineering; Materials Science; Physics -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.subject.keywordAuthor global issues -
dc.subject.keywordAuthor emerging issues -
dc.subject.keywordAuthor seafood -
dc.subject.keywordAuthor horizon scanning -
dc.subject.keywordAuthor text mining -
dc.subject.keywordPlus FOOD SAFETY -
dc.subject.keywordPlus INDICATORS -

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