Fake news detection through feature fusion: Leveraging RoBERTa and knowledge graphs with gating
This dissertation explores feature fusion by combining RoBERTa and Knowledge Graph (KG) techniques using Gated Units to improve the accuracy of fake news detection. In text processing, RoBERTa model is able to understand and classify false content effectively due to its pre-training advantage. On th...
Saved in:
| 主要作者: | |
|---|---|
| 其他作者: | |
| 格式: | Thesis-Master by Coursework |
| 語言: | English |
| 出版: |
Nanyang Technological University
2024
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/181597 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|