Issue |
MATEC Web Conf.
Volume 395, 2024
2023 2nd International Conference on Physics, Computing and Mathematical (ICPCM2023)
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Article Number | 01011 | |
Number of page(s) | 9 | |
DOI | https://doi.org/10.1051/matecconf/202439501011 | |
Published online | 15 May 2024 |
Multi-domain rumor detection method based on sentiment features and attention mechanism
1 Armed Police Engineering University, Xi'an, Shaanxi Province
2 Key Laboratory of Network and Information Security of Armed Police Force, Xi'an
* Corresponding author: ZMS2099@163.com
The wide dissemination of rumor is increasingly threatening both individuals and society. In this paper, we propose a multi-domain rumor detection method based on sentiment features and attention mechanism. This method uses sentiment analysis technology to extract sentiment features from text, and uses attention mechanism to weight text features and domain features to detect rumor. Experimental results show that the proposed method has achieved good results on data sets from multiple fields and has good generalization performance.
Key words: Rumor detection / Emotion feature / Domain embedding / Attention mechanism
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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