Fake news detection through feature fusion: Leveraging RoBERTa and knowledge graphs with gating

• 主要作者: Fang, Zhuohao
• 其他作者: Na Jin Cheon
• 格式: Thesis-Master by Coursework
• 語言: English
• 出版: Nanyang Technological University 2024
• 主題: Computer and Information Science; Fake news detection; RoBERTa; Knowledge graph; Feature fusion; Gated units
• 在線閱讀: https://hdl.handle.net/10356/181597

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...