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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597295/ https://www.ncbi.nlm.nih.gov/pubmed/36312829 http://dx.doi.org/10.3389/frma.2022.1001754 |