Open Access

ARTICLE

Topic Mining and Evolution Analysis of Domestic Smart Library Research Based on the BERTopic Model

Meile Li¹, Yinuo Jiang^2,*

1 Faculty of Public Administration, Xiangtan University, Xiangtan, 411100, China
2 School of Information Science and Engineering, Hunan University, Changsha, 410000, China

* Corresponding Author: Yinuo Jiang. Email:

Journal on Artificial Intelligence 2025, 7, 509-516. https://doi.org/10.32604/jai.2025.073792

Received 25 September 2025; Accepted 21 October 2025; Issue published 28 November 2025

Abstract

This paper conducts topic mining and analysis of research literature in the domestic smart library field based on the BERTopic model, aiming to reveal its topic development context and evolution trends. Journal literature in the smart library field collected by CNKI (China National Knowledge Infrastructure) from 2015 to 2024 was analyzed using the BERTopic model and dynamic topic modeling for topic mining and evolution trend analysis. The study found that the domestic smart library field involves multiple core topics, identifying a diversified topic structure centered around “data”, “user”, “5g”, etc. The research results provide data support and practical reference for libraries to accurately identify key points of technology integration during smart transformation and to optimize smart service models.

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Keywords

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Supplementary Material

Supplementary Material File

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