Abstract

This study aims to examine research on specialized libraries in Korea, review the research trends revealed through analysis of the results, and suggest implications. For this study, a comprehensive survey of academic papers on specialized libraries was conducted using RISS (Research Information Sharing Service), KISS (Korea Academic Information Service System), KCI (Korea Citation Index), and DBpia (Nurimedia Academic Database). In the research trend analysis, the collected data was preprocessed using text mining techniques. Python was used as the analysis tool. In addition, frequency analysis and TF-IDF techniques were used based on the PRISMA literature screening procedure and the abstracts of the selected analysis subjects. The results of this study are, First, research on specialized libraries has steadily increased over time. Second, the frequency of words was high in the order of characteristics, operation, program, region, and specialization throughout the entire period. Third, the TF-IDF analysis results showed that specialization, operation, activation, characteristics, and specialized libraries had high weights in that order during the entire period. Fourth, the results of network analysis showed that the degree of centrality was in the order of characteristics, operations, regions, development, and programs.