UO_UA: Using Latent Semantic Analysis to Build a Domain-Dependent Sentiment Resource

Reynier Ortega Bueno, Adrian Fonseca Bruzón, Carlos Muñiz Cuza, Yoan Gutiérrez, Andrés Montoyo


Anthology ID:
S14-2137
Volume:
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
Month:
August
Year:
2014
Address:
Dublin, Ireland
Editors:
Preslav Nakov, Torsten Zesch
Venue:
SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
773–778
Language:
URL:
https://aclanthology.org/S14-2137
DOI:
10.3115/v1/S14-2137
Bibkey:
Cite (ACL):
Reynier Ortega Bueno, Adrian Fonseca Bruzón, Carlos Muñiz Cuza, Yoan Gutiérrez, and Andrés Montoyo. 2014. UO_UA: Using Latent Semantic Analysis to Build a Domain-Dependent Sentiment Resource. In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 773–778, Dublin, Ireland. Association for Computational Linguistics.
Cite (Informal):
UO_UA: Using Latent Semantic Analysis to Build a Domain-Dependent Sentiment Resource (Ortega Bueno et al., SemEval 2014)
Copy Citation:
PDF:
https://aclanthology.org/S14-2137.pdf
Data
SemEval-2014 Task-4