Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT

With the growth that social networks have experienced in recent years, it is entirely impossible to moderate content manually. Thanks to the different existing techniques in natural language processing, it is possible to generate predictive models that automatically classify texts into different cat...

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Detalles Bibliográficos
Autores principales: Benítez-Andrades, José Alberto, González-Jiménez, Álvaro, López-Brea, Álvaro, Aveleira-Mata, Jose, Alija-Pérez, José-Manuel, García-Ordás, María Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044360/
https://www.ncbi.nlm.nih.gov/pubmed/35494847
http://dx.doi.org/10.7717/peerj-cs.906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044360/
https://www.ncbi.nlm.nih.gov/pubmed/35494847
http://dx.doi.org/10.7717/peerj-cs.906

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