A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model
Fuente:
arXiv
Guardado en:
| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866909301022392320 |
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| author | Tida, Vijay Srinivas Hsu, Sonya Hei, Xiali |
| author_facet | Tida, Vijay Srinivas Hsu, Sonya Hei, Xiali |
| contents | An efficient fake news detector becomes essential as the accessibility of social media platforms increases rapidly. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2202_01907 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model Tida, Vijay Srinivas Hsu, Sonya Hei, Xiali Machine Learning An efficient fake news detector becomes essential as the accessibility of social media platforms increases rapidly. |
| title | A Unified Training Process for Fake News Detection based on Fine-Tuned BERT Model |
| topic | Machine Learning |
| url | https://arxiv.org/abs/2202.01907 |