Cargando…
CanarDeep: a hybrid deep neural model with mixed fusion for rumour detection in social data streams
The unrelenting trend of doctored narratives, content spamming, fake news and rumour dissemination on social media can lead to grave consequences that range from online intimidating and trolling to lynching and riots in real- life. It has therefore become vital to use computational techniques that c...
Autores principales: | Jain, Deepak Kumar, Kumar, Akshi, Shrivastava, Akshat |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741553/ https://www.ncbi.nlm.nih.gov/pubmed/35035107 http://dx.doi.org/10.1007/s00521-021-06743-8 |
Ejemplares similares
-
Rumour detection using deep learning and filter-wrapper feature selection in benchmark twitter dataset
por: Kumar, Akshi, et al.
Publicado: (2021) -
Understanding cartoon emotion using integrated deep neural network on large dataset
por: Jain, Nikita, et al.
Publicado: (2021) -
DeepClassRooms: a deep learning based digital twin framework for on-campus class rooms
por: Razzaq, Saad, et al.
Publicado: (2022) -
Deep imitation learning for 3D navigation tasks
por: Hussein, Ahmed, et al.
Publicado: (2017) -
Efficient deep learning approach for augmented detection of Coronavirus disease
por: Sedik, Ahmed, et al.
Publicado: (2021)