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A Keyword Analysis of Collection Development Policies of University and Public Libraries Using Text Mining

  • Journal of the Korean Society for Library and Information Science
  • 2024, 58(1), pp.285-302
  • DOI : 10.4275/KSLIS.2024.58.1.285
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : January 22, 2024
  • Accepted : February 14, 2024
  • Published : February 28, 2024

Da-Hyeon Lee 1 Donghee Shin 2

1숙명여자대학교 문헌정보학과
2숙명여자대학교

Excellent Accredited

ABSTRACT

For this article, we conducted frequency analysis, topic modeling, and network analysis on eleven texts related to collection development policy found in the National Library of Korea. We deduced the main keywords related to collection development policies and analyzed the relationship between them. We subsequently conducted a pie coefficient analysis to identify the characteristics of collection development policies of university libraries and public libraries by category. The results showed that keywords such as “material,” “library,” “collection development,” “user,” and “collection” were the main keywords in frequency analysis and network centrality. Meanwhile, the pie coefficient analysis revealed that keywords such as “university,” “construction,” “student,” “target,” and “cost” were prevalent in university libraries, indicating that the academic needs of users and the discussion of digital resources were primary issues, while keywords related to the information needs of various user groups—including “adults,” “survey,” “feature,” and “religion” —appeared in public libraries.

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