Paper: uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter

ACL ID S13-2062
Title uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

We present two systems developed at the Uni- versity of Ottawa for the SemEval 2013 Task 2. The first system (for Task A) classifies the po- larity / sentiment orientation of one target word in a Twitter message. The second system (for Task B) classifies the polarity of whole Twitter messages. Our two systems are very simple, based on supervised classifiers with bag-of- words feature representation, enriched with in- formation from several sources. We present a few additional results, besides results of the submitted runs.