텍스트 마이닝을 활용한 출판학 연구 동향과 특성

Abstract

The evolving IT technologies such as digital publishing content and AI publishing have a significant impact on the publishing industry. Therefore, it is important to consolidate research achievements in the field of publishing studies and provide direction to cope with these changes. In this study, we conducted topic modeling analysis on 459 academic papers published in Korean publishing studies, collecting titles, abstracts, and keywords. The analysis revealed four topics: technological advancement and environmental changes, reflections on publishing acceptance, utilization of internal capabilities and assessments in the publishing industry, and education in the publishing field. Prior to 2010, three topics emerged: initial digital transformation, changes in the industry environment, and responses to publishing acceptance changes. After 2010, four topics emerged: digital transformation, changes in publishing acceptance and response, education in the publishing field, and the current status of the publishing industry. The research results shed light on the significant topics addressed in Korean publishing studies and suggest the need for research topics that provide more practical insights for the publishing industry.