Identification and Visualization of Key Topics in Scientific Publications with Transformer-Based Language Models and Document Clustering Methods

Identification and Visualization of Key Topics in Scientific Publications with Transformer-Based Language Models and Document Clustering Methods

With the rapidly growing number of scientific publications, researchers face an increasing challenge of discovering the current research topics and methodologies in a scientific domain. This paper describes an unsupervised topic detection approach that utilizes the new development of transformer-bas...

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Bibliographic Details
Main Authors: Min-Hsien Weng, Shaoqun Wu, Mark Dyer
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Applied Sciences
Subjects:
topic analysis
language model
document clustering
keyword extraction
bibliometric analysis
Online Access:https://www.mdpi.com/2076-3417/12/21/11220

Internet

https://www.mdpi.com/2076-3417/12/21/11220

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