Evaluating critical points for the improvement of nuclear energy investments via text mining methodology

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dc.authorid0000-0002-4791-4091
dc.authorid0000-0002-3390-4597
dc.contributor.authorEti, Serkan
dc.contributor.authorGökalp, Yaşar
dc.date.accessioned2023-05-11T09:21:15Z
dc.date.available2023-05-11T09:21:15Z
dc.date.issued2023
dc.departmentİstanbul Medipol Üniversitesi, İMÜ Meslek Yüksekokulu, Bilgisayar Programcılığı Ana Bilim Dalı
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Fakültesi, Sağlık Yönetimi Bölümü
dc.description.abstractThe study aims to determine the developments in nuclear energy. In addition, it is aimed to determine strategies for future study and research areas. For this purpose, the studies in literature are included in the scope of analysis. In the literature, studies with the keyword “nuclear energy” in the web of science database have been taken into consideration. When the studies were examined, it was seen that there were 333 articles on nuclear energy between 1993 and 2022. It is seen that the studies on nuclear energy have increased after 2015. In recent years, the interest of researchers on this subject has increased and text mining methods have been used to determine the subject or topics discussed. As a result of the analysis made for the frequency of the words in the abstracts of the articles containing the keyword nuclear energy, it is seen that words such as renewability, economy, emissions, development, and growth come to the forefront. As a result, it is seen that academic studies on nuclear energy compare this energy source with renewable and clean energy. It is also concluded that they investigated the effects of nuclear energy on the country’s economy and its reflections on economic growth.
dc.identifier.citationEti, S. ve Gökalp, Y. (2023). Evaluating critical points for the improvement of nuclear energy investments via text mining methodology. Contributions to Economics içinde (1-12. ss.). Springer Science and Business Media Deutschland GmbH. https://dx.doi.org/10.1007/978-3-031-26596-9_1
dc.identifier.doi10.1007/978-3-031-26596-9_1
dc.identifier.endpage12
dc.identifier.issn1431-1933
dc.identifier.scopus2-s2.0-85153348692
dc.identifier.scopusqualityQ4
dc.identifier.startpage1
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-031-26596-9_1
dc.identifier.urihttps://hdl.handle.net/20.500.12511/10935
dc.indekslendigikaynakScopus
dc.institutionauthorEti, Serkan
dc.institutionauthorGökalp, Yaşar
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofContributions to Economicsen_US
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectData Mining
dc.subjectEnergy Economics
dc.subjectEnergy Investments
dc.subjectNuclear Energy
dc.subjectText Mining
dc.titleEvaluating critical points for the improvement of nuclear energy investments via text mining methodology
dc.typeBook Chapter

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