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A novel few-shot learning based multi-modality fusion model for COVID-19 rumor detection from online social media
BACKGROUND: Rumor detection is a popular research topic in natural language processing and data mining. Since the outbreak of COVID-19, related rumors have been widely posted and spread on online social media, which have seriously affected people’s daily lives, national economy, social stability, et...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384041/ https://www.ncbi.nlm.nih.gov/pubmed/34497874 http://dx.doi.org/10.7717/peerj-cs.688 |