Abstract
We present a complete UIMA-based pipeline for sentiment analysis in Portuguese news using freely available resources and a minimal set of manually annotated training data. We obtained good precision on binary classification but concluded that news feed is a challenging environment to detect the extent of opinionated text.- Anthology ID:
- L14-1266
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2225–2228
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/293_Paper.pdf
- DOI:
- Cite (ACL):
- Patrik Lambert and Carlos Rodríguez-Penagos. 2014. Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2225–2228, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese (Lambert & Rodríguez-Penagos, LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/293_Paper.pdf