One for “All”: a unified model for fine-grained sentiment analysis under three tasks

BACKGROUND: Fine-grained sentiment analysis is used to interpret consumers’ sentiments, from their written comments, towards specific entities on specific aspects. Previous researchers have introduced three main tasks in this field (ABSA, TABSA, MEABSA), covering all kinds of social media data (e.g....

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Detalles Bibliográficos
Autores principales: Lu, Heng-yang, Yang, Jun, Hu, Cong, Fang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670363/
https://www.ncbi.nlm.nih.gov/pubmed/34977357
http://dx.doi.org/10.7717/peerj-cs.816

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670363/
https://www.ncbi.nlm.nih.gov/pubmed/34977357
http://dx.doi.org/10.7717/peerj-cs.816

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