TEXT MINING AND KNOWLEDGE MAPPING OF POSTGRADUATE THESES ON GENERATIONS IN TURKEY

Abstract

In the realm of social sciences, the concept of generation represents one of the most contentious areas. The problem lies not in the concept itself, but rather in the meanings attributed to it. The meanings attributed to the concept are used to establish marketing principles by comparing a group of individuals that are taken into consideration or based within a specific category with the basic characteristics that are assumed to have opposite qualities of this group. In this study, keywords were collected from the theses containing the word generation that were downloaded from the website where graduate theses belonging to the Council of Higher Education are published. In addition to the descriptive statistical findings on the year, university, and subject data of the theses, an association analysis of the keywords of these theses was performed using the Apriori algorithm. The research findings revealed that the majority of graduate theses on generation are master's theses, their popularity is increasing, and the keyword “generation” is associated with various fields such as behavior, difference, business, social relations, media, and conflict

Keywords

• Generation
• Text Mining
• Apriori
• Türkiye

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