%0 Conference Proceedings %T Adapting Freely Available Resources to Build an Opinion Mining Pipeline in Portuguese %A Lambert, Patrik %A Rodríguez-Penagos, Carlos %Y Calzolari, Nicoletta %Y Choukri, Khalid %Y Declerck, Thierry %Y Loftsson, Hrafn %Y Maegaard, Bente %Y Mariani, Joseph %Y Moreno, Asuncion %Y Odijk, Jan %Y Piperidis, Stelios %S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14) %D 2014 %8 May %I European Language Resources Association (ELRA) %C Reykjavik, Iceland %F lambert-rodriguez-penagos-2014-adapting %X 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. %U http://www.lrec-conf.org/proceedings/lrec2014/pdf/293_Paper.pdf %P 2225-2228