Paper: FBK: Sentiment Analysis in Twitter with Tweetsted

ACL ID S13-2077
Title FBK: Sentiment Analysis in Twitter with Tweetsted
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2013
Authors

This paper presents the Tweetsted system im- plemented for the SemEval 2013 task on Sen- timent Analysis in Twitter. In particular, we participated in Task B on Message Polar- ity Classification in the Constrained setting. The approach is based on the exploitation of various resources such as SentiWordNet and LIWC. Official results show that our approach yields a F-score of 0.5976 for Twitter mes- sages (11th out of 35) and a F-score of 0.5487 for SMS messages (8th out of 28 participants).