Authors
Carlos Rodríguez-Penagos, Jordi Atserias, Joan Codina-Filba, David Garcia-Narbona, Jens Grivolla, Patrik Lambert, Roser Saurí
Publication date
2013/6
Conference
Second Joint Conference on Lexical and Computational Semantics (* SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013)
Pages
483-489
Description
This paper describes the system implemented by Fundació Barcelona Media (FBM) for classifying the polarity of opinion expressions in tweets and SMSs, and which is supported by a UIMA pipeline for rich linguistic and sentiment annotations. FBM participated in the SEMEVAL 2013 Task 2 on polarity classification. It ranked 5th in Task A (constrained track) using an ensemble system combining ML algorithms with dictionary-based heuristics, and 7th (Task B, constrained) using an SVM classifier with features derived from the linguistic annotations and some heuristics.
Scholar articles
C Rodríguez-Penagos, J Atserias, J Codina-Filba… - Second Joint Conference on Lexical and …, 2013