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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| Published in: | Journal of Computational and Cognitive Engineering Vol. 2; no. 4; pp. 352 - 356 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
15.11.2023
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| ISSN: | 2810-9570, 2810-9503 |
| Online Access: | Get full text |
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