Rumour identification on Twitter as a function of novel textual and language-context features
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-13595-4.pdf
Reference48 articles.
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3. Bian T et al (2020) Rumor detection on social media with bi-directional graph convolutional networks. In: Proceedings of the AAAI conference on artificial intelligence 34 (1), pp 549–556
4. Bird S, Klein E, Loper E (2009) Natural language processing with Python: analyzing text with the natural language toolkit. O’Reilly Media, Inc.
5. Breiman L (2001) Random forests. Mach Learn 45(1):5–32
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