A Simple, interpretable method to identify surprising topic shifts in scientific fields

This paper proposes a text-mining framework to systematically identify vanishing or newly formed topics in highly interdisciplinary and diverse fields like cognitive science. We apply topic modeling via non-negative matrix factorization to cognitive science publications before and after 2012; this a...

Full description

Bibliographic Details

Published in:	Frontiers in Research Metrics and Analytics
Main Authors:	Lu Cheng, Jacob G. Foster, Harlin Lee
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-10-01
Subjects:	science of science cognitive science topic modeling topic matching matrix factorization entropy
Online Access:	https://www.frontiersin.org/articles/10.3389/frma.2022.1001754/full