A Review on Sentiment Analysis from Social Media Platforms

This work is partly supported by research grants miHeart RisBi (PID2019-104356RB-C42), miHeart-DaBa (PID2019104356RB-C43), BigTheory (PID2019-106623RB-C41), from Agencia Estatal de Investigacion of Science and In-́ novation Ministry and cofunded by FEDER funding. It is also partially supported by RE...

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Detalhes bibliográficos
Autores: Rodríguez-Ibánez, Margarita, Casánez-Ventura, Antonio, Castejón-Mateos, Félix, Cuenca-Jiménez, Pedro Manuel
Formato: artículo
Fecha de publicación:2023
País:España
Recursos:Universidad Rey Juan Carlos
Repositorio:BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
OAI Identifier:oai:burjcdigital.urjc.es:10115/24751
Acesso em linha:https://hdl.handle.net/10115/24751
Access Level:acceso abierto
Palavra-chave:Sentiment analysis
Social media
Twitter
Causality
Temporal sentiment analysis
Professional and academic methodologies
Reproducibility studies
Causal rule predictions
Descrição
Resumo:This work is partly supported by research grants miHeart RisBi (PID2019-104356RB-C42), miHeart-DaBa (PID2019104356RB-C43), BigTheory (PID2019-106623RB-C41), from Agencia Estatal de Investigacion of Science and In-́ novation Ministry and cofunded by FEDER funding. It is also partially supported by REACT EU grants from the Community of Madrid and Rey Juan Carlos University funded by the Next Generation EU.

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