Abstract

This study aims to investigate research trends in specialized services by using text mining to investigate research related to library specialized services and to suggest implications. To this end, we conducted a comprehensive survey of academic papers and dissertations on library-specific services using RISS, KISS, KCI, and DBPIA. Based on the analysis results, text mining techniques were used and the collected data was preprocessed. The tools used for the analysis were Python and NodeXL. In addition, the analysis subjects selected through the PRISMA literature selection procedure were titles, keywords, and abstracts, and frequency analysis, TF-IDF, and network analysis techniques were used for the content analysis of the abstracts. The research results show that, firstly, research has been conducted steadily since 2003 in terms of the number of research papers by year, and when divided by period, the number of studies appears to be increasing. Second, in the word frequency(TF) analysis, the words public library, specialization, operation, program, and use showed high frequencies in that order throughout the entire period, and words related to specialized services such as materials and region formed the top 10. Third, the results of TF-IDF word analysis showed that the words public library, specialization, specialization library, plan, and activation had high weights in that order during the entire period, and words related to specialization services such as specialization service, program, region, and National Sejong Library appeared. Fourth, as a result of the degree centrality analysis, related words appeared in the order of specialization, necessity, operation, data, and plan throughout the entire period.