Text-based paper-level classification procedure for non-traditional sciences using a machine learning approach

Author:

Moctezuma Daniela,López-Vázquez Carlos,Lopes Lucas,Trevisan Norton,Pérez José

Funder

CYTED Ciencia y Tecnología para el Desarrollo

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference42 articles.

1. Shu F, Julien C-A, Zhang L, Qiu J, Zhang J, Larivière V (2019) Comparing journal and paper level classifications of science. J Inform 13(1):202–225

2. Waltman L, van Eck NJ (2012) A new methodology for constructing a publication-level classification system of science. J Am Soc Inf Sci Technol 63(12):2378–2392

3. Le Q, Mikolov T (2014) Distributed representations of sentences and documents. In: International conference on machine learning. PMLR, pp. 1188–1196

4. Devlin J, Chang M-W, Lee K, Toutanova K (2018) BERT: pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805

5. Chen G, Chen J, Shao Y, Xiao L (2022) Automatic noise reduction of domain-specific bibliographic datasets using positive-unlabeled learning. Scientometrics 128:1–18

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