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

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...

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Bibliographic Details
Main Author: Fang, Zhuohao
Other Authors: Na Jin Cheon
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Fake news detection
RoBERTa
Knowledge graph
Feature fusion
Gated units
Online Access:https://hdl.handle.net/10356/181597

Internet

https://hdl.handle.net/10356/181597

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