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Article Emotional Structure of Dialogues in Aging-Themed Movies: an Analysis on Text Mining(Sage Publications inc, 2024) Ergun, Duygu; Takan, Savas; Katipoglu, GokmenEmotions play an important role in the process of media messages transforming the audience. In our study, starting from the question of what might be the dominant emotions in old age-themed cinema texts, it is aimed to obtain clues about how old age is constructed in cinema through these emotions and what kind of emotional structure about old age is imposed on the audience. In this direction, emotion analysis was applied to the dialogues of 379 old age-themed films shot in a period of 100 years to determine what kind of emotional structure is constructed in all old age-themed cinema texts. As a result, it was found that the most dominant emotion was anger and disgust. The findings were categorized according to three different periods (1920-1969, 1970-1999, 2000-2020) and interpreted in a descriptive approach in a historical perspective and within the framework of the cinemas of the in addition to the EU, Germany, France, the UK, and Japan, Turkish cinema to make a comparison, where the most old age films were made. It is expected that our study will set an example for text mining research in cinema and offer an alternative perspective to the discussions on the phenomenon of aging in cinema.Article Citation - WoS: 31Citation - Scopus: 40Research Trends on Distance Learning: a Text Mining-Based Literature Review From 2008 To 2018(Routledge Journals, Taylor & Francis Ltd, 2023) Gurcan, Fatih; Cagiltay, Nergiz ErcilToday's dynamic distance learning environments offer a flexible, comfortable, and lifelong learning experience, independent of space and time. In this way, it also supports and develops existing traditional training programs. The increasing importance of knowledge, skills and learning in today's technological life cycle has led to an increase and diversification of research and applications in distance learning. Accordingly, distance learning literature has a rich content supported by a multidisciplinary background. From this point of view, it is crucial to perceive the research landscape reflecting the general themes and trends studied in the field of distance learning. This study aims at revealing the distance learning research themes and trends by analyzing the 27,735 articles of journal conducted in the last decade. The methodology of the study is based on semantic content analysis implemented by N-gram-based text categorization technique. As a result, 10 main themes are discovered, namely, "System establishment", "Media", "Assessment", "Method", "Content", "Education levels", "Learner", "Research methods", "Interaction-Communication", and "Resource-Material-Tool". In this context, the findings of the study are expected to provide significant insights to guide prospective research and practice in the field and to develop continuous improvements and standards for distance education communities.
