RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE

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 indicato...

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Main Author: Fan Zhang
Format: Article
Language:English
Published: Zibeline International 2023-06-01
Series:Acta Informatica Malaysia
Subjects:
Online Access:https://actainformaticamalaysia.com/archives/AIM/2aim2023/2aim2023-97-100.pdf
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author Fan Zhang
author_facet Fan Zhang
author_sort Fan Zhang
collection DOAJ
description 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.
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publishDate 2023-06-01
publisher Zibeline International
record_format Article
series Acta Informatica Malaysia
spelling doaj-art-d9faa26639ed448caac4654bfb6294072025-08-20T02:30:34ZengZibeline InternationalActa Informatica Malaysia2521-08742521-05052023-06-01729710010.26480/aim.02.2023.97.100RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICEFan Zhang0Guangzhou Huashang College, Guangzhou, Guangdong, 511300, ChinaThis 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.https://actainformaticamalaysia.com/archives/AIM/2aim2023/2aim2023-97-100.pdfuniversity librarydiscipline servicekeyword miningalgorithm and technicaldata preprocessing.
spellingShingle Fan Zhang
RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE
Acta Informatica Malaysia
university library
discipline service
keyword mining
algorithm and technical
data preprocessing.
title RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE
title_full RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE
title_fullStr RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE
title_full_unstemmed RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE
title_short RESEARCH ON KEYWORD MINING OF ACADEMIC LIBRARY SUBJECT SERVICE
title_sort research on keyword mining of academic library subject service
topic university library
discipline service
keyword mining
algorithm and technical
data preprocessing.
url https://actainformaticamalaysia.com/archives/AIM/2aim2023/2aim2023-97-100.pdf
work_keys_str_mv AT fanzhang researchonkeywordminingofacademiclibrarysubjectservice