RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE

Fan Zhang ()
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Fan Zhang: Guangzhou Huashang College, Guangzhou, Guangdong, 511300, China

Acta Informatica Malaysia (AIM), 2023, vol. 7, issue 2, 97-100

Abstract: This research aims to explore the application of keyword mining technology in academic services of university libraries, and conducts in-depth research on the algorithm and technology of keyword mining technology, the analysis method and application of keyword mining results, the evaluation indicators of keyword mining results, and the design and implementation of optimization strategies. Empirical research has shown that the subject service model based on keyword mining can effectively improve the level of subject service in libraries, providing users with more accurate and comprehensive information resource services. However, there are still some limitations and shortcomings in this study. In the future, we can continue to explore the optimization of keyword mining technology and combine it with other artificial intelligence technologies to develop more intelligent and personalized subject service models. In a word, this study provides some valuable ideas and methods for academic library discipline services, which has certain theoretical and practical significance.

Keywords: University library; discipline service; keyword mining; algorithm and technical; data preprocessing. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:zib:zbnaim:v:7:y:2023:i:2:p:97-100

DOI: 10.26480/aim.02.2023.97.100

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