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Identifying interdisciplinary topics and their evolution based on BERTopic

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成果类型:
期刊论文
作者:
Wang, Zhongyi;Chen, Jing;Chen, Jiangping;Chen, Haihua
通讯作者:
Chen, HH
作者机构:
[Wang, Zhongyi; Chen, Jing] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.
[Chen, Jiangping; Chen, Haihua] Univ North Texas, Dept Informat Sci, Denton, TX 76203 USA.
通讯机构:
[Chen, HH ] U
Univ North Texas, Dept Informat Sci, Denton, TX 76203 USA.
语种:
英文
关键词:
Academic literature;Interdisciplinary research;Interdisciplinary topics;Topic modeling;Topic evolution;BERTopic
期刊:
Scientometrics
ISSN:
0138-9130
年:
2023
页码:
1-26
基金类别:
National Social Science Foundation of China [22BTQ102]
机构署名:
本校为第一机构
院系归属:
信息管理学院
摘要:
Interdisciplinary topic reflects the knowledge exchange and integration between different disciplines. Analyzing its evolutionary path is beneficial for interdisciplinary research in identifying potential cooperative research direction and promoting the cross-integration of different disciplines. However, current studies on the evolution of interdisciplinary topics mainly focus on identifying interdisciplinary topics at the macro level. More analysis of the evolution process of interdisciplinary topics at the micro level is still needed. This paper proposes a framework for interdisciplinary to...

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