CE-BERT: Concise and Efficient BERT-Based Model for Detecting Rumors on Twitter
Detecting rumours on social media requires careful consideration of content and context. Graph-based neural network techniques have been used to explore the contextual features of tweets. However, reliable contextual feature extraction from Twitter is challenging due to its rules and restrictions. B...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
IEEE
2023-01-01
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| Serier: | IEEE Access |
| Fag: | |
| Online adgang: | https://ieeexplore.ieee.org/document/10196451/ |
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