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
- 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)
- PDF:
- https://preview.aclanthology.org/landing_page/S14-2137.pdf
- Data
- SemEval-2014 Task-4