Summary of the paper
| Title | Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese |
|---|---|
| Authors | Patrik Lambert and Carlos Rodriguez-Penagos |
| 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. |
| Topics | Opinion Mining / Sentiment Analysis, Part-of-Speech Tagging |
Full paper  |
Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese |
| Bibtex | @InProceedings{LAMBERT14.293, author = {Patrik Lambert and Carlos Rodriguez-Penagos}, title = {Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |