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DC-CNN: Dual-channel Convolutional Neural Networks with attention-pooling for fake news detection
Fake news detection mainly relies on the extraction of article content features with neural networks. However, it has brought some challenges to reduce the noisy data and redundant features, and learn the long-distance dependencies. To solve the above problems, Dual-channel Convolutional Neural Netw...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9340725/ https://www.ncbi.nlm.nih.gov/pubmed/35937201 http://dx.doi.org/10.1007/s10489-022-03910-9 |