Sustainable Economic Development Through Crisis Detection Using AI Techniques

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dc.authoridKOTAN, Kurban/0000-0002-6660-0565
dc.authoridkirisoglu, serdar/0000-0002-4416-6657
dc.contributor.authorKotan, Kurban
dc.contributor.authorKirisoglu, Serdar
dc.date.accessioned2025-10-11T20:47:41Z
dc.date.available2025-10-11T20:47:41Z
dc.date.issued2025
dc.departmentDüzce Üniversitesien_US
dc.description.abstractEconomics is based on data and indicators. Although their interpretation can be complicated, their effects can be calculated in advance. In other words, economic crises are not as complicated and unpredictable as natural disasters. If economic news, news that reflects the thoughts of society, and especially the experiences and predictions of economic experts, is semantically processed from the news texts written by economic experts, economic crises can be predicted long in advance. In addition, the frequency of news about crises in society is also effective. Events that affect society are often mentioned. This can be an indication of some economic crises. In this research, we attempted to detect the economic crises and inflation increases in Turkey in December 2021 and in Germany in September 2022 several months in advance with natural language processing (NLP) models. In the study, the daily news retrieved via RSS from the leading news channels and newspapers was first preprocessed and then the similarities were checked with NLP models. Finally, similarities and changes were analyzed in comparison with inflation data. It was found that similar changes a few months ago had a high correlation with inflation data.en_US
dc.identifier.doi10.3390/su17041536
dc.identifier.issn2071-1050
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85219210022en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.3390/su17041536
dc.identifier.urihttps://hdl.handle.net/20.500.12684/21529
dc.identifier.volume17en_US
dc.identifier.wosWOS:001431664300001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherMdpien_US
dc.relation.ispartofSustainabilityen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmzKA_WOS_20250911
dc.subjectnatural language processingen_US
dc.subjectsentence embeddingen_US
dc.subjectlanguage representation modelsen_US
dc.subjecteconomic crisisen_US
dc.subjectnews dataen_US
dc.titleSustainable Economic Development Through Crisis Detection Using AI Techniquesen_US
dc.typeArticleen_US

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