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...
- 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