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SETM: A large-scale interactive visualisation of papers based on semantic embedding and topic modelling

Year: 2025

Type: article

Source: Journal of Information Science

DOI: 10.1177/01655515251362401

Authors: Jihong Wang, Junhao Xie, Yingjun He, Nuo Chen, Zhanglin Cheng

Institutions: Guangdong University of Education, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology

Language: English

Topic: Data Visualization and Analytics

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4414528096

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Cites: 27

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