Paper: NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages

ACL ID S13-2095
Title NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper describes the NILC USP system that participated in SemEval-2013 Task 2: Sentiment Analysis in Twitter. Our system adopts a hybrid classification process that uses three classification approaches: rule- based, lexicon-based and machine learning approaches. We suggest a pipeline architec- ture that extracts the best characteristics from each classifier. Our system achieved an F- score of 56.31% in the Twitter message-level subtask.