Unsupervised model for aspect-based sentiment analysis in spanish

This paper presents an unsupervised model for Aspect-Based Sentiment Analysis in Spanish language, which automatically extracts the aspects of opinion and determines its associated polarity. The model uses ontologies for the detection of explicit and implicit aspects, and machine learning without su...

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Autores:
Henríquez Miranda, Carlos
Briceño Díaz, Freddy
Salcedo, Dixon
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5648
Acceso en línea:
https://hdl.handle.net/11323/5648
https://repositorio.cuc.edu.co/
Palabra clave:
Aspect-based
Ontology
Sentiment analysis
Unsupervised machine learning
Rights
openAccess
License
CC0 1.0 Universal