Text Classification of News Using Transformer-based Models for Portuguese
This work proposes the use of a fine-tuned Transformers-based Natural Language Processing (NLP) model called BERTimbau to generate the word embeddings from texts published in a Brazilian newspaper, to create a robust NLP model to classify news in Portuguese, a task that is costly for humans to perfo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
International Institute of Informatics and Cybernetics
2022-10-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/PDV/sci/pdfs/SA702PC22.pdf
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