Paper: SU-Sentilab : A Classification System for Sentiment Analysis in Twitter

ACL ID S13-2078
Title SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

Sentiment analysis refers to automatically ex- tracting the sentiment present in a given natu- ral language text. We present our participation to the SemEval2013 competition, in the senti- ment analysis of Twitter and SMS messages. Our approach for this task is the combination of two sentiment analysis subsystems which are combined together to build the final sys- tem. Both subsystems use supervised learning using features based on various polarity lexi- cons.