Comparing BERT Against Traditional Machine Learning Models in Text Classification

The BERT model has arisen as a popular state-of-the-art model in recent years. It is able to cope with NLP tasks such as supervised text classification without human supervision. Its flexibility to cope with any corpus delivering great results has make this approach very popular in academia and indu...

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Veröffentlicht in:	Journal of Computational and Cognitive Engineering Jg. 2; H. 4; S. 352 - 356
Hauptverfasser:	Garrido-Merchan, Eduardo C., Gozalo-Brizuela, Roberto, Gonzalez-Carvajal, Santiago
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	15.11.2023
ISSN:	2810-9570, 2810-9503
Online-Zugang:	Volltext
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