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

Abstract

The 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.