Paper: Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble

ACL ID S14-2017
Title Biocom Usp: Tweet Sentiment Analysis with Adaptive Boosting Ensemble
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

We describe our approach for the SemEval-2014 task 9: Sentiment Analy- sis in Twitter. We make use of an en- semble learning method for sentiment classification of tweets that relies on varied features such as feature hash- ing, part-of-speech, and lexical fea- tures. Our system was evaluated in the Twitter message-level task.