Data mining and association rules to determine twitter trends

Opinion mining has been widely studied in the last decade due to its great interest in the field of research and countless real-world applications. This research proposes a system that combines association rules, generalization of rules, and sentiment analysis to catalog and discover opinion trends...

Full description

Autores:

Silva, Jesús
Vargas, Jesús
Natteri, Domingo
Flores Marín, Darío Enrique
Pineda, Omar
Ahumada, Bridy
Valero, Lesbia

Tipo de recurso:

Article of journal

Fecha de publicación:

2020

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/7735

Acceso en línea:

https://hdl.handle.net/11323/7735
https://doi.org/10.1007/978-981-15-4875-8_23
https://repositorio.cuc.edu.co/

Palabra clave:

Opinions mining
Association rules
Sentiment analysis
Analysis of trends
Unsupervised learning

Rights

openAccess

License

Attribution-NonCommercial-NoDerivatives 4.0 International