uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
Hamid Poursepanj, Josh Weissbock, Diana Zaiu Inkpen · Joint Conference on Lexical and Computational Semantics · 2013
We present two systems developed at the University of Ottawa for the SemEval 2013 Task 2. The first system (for Task A) classifies the polarity / 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-ofwords feature representation, enriched with information from several sources. We present a few additional results, besides results of the submitted runs.