Paper: JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest

ACL ID S14-2062
Title JOINT_FORCES: Unite Competing Sentiment Classifiers with Random Forest
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

In this paper, we describe how we cre- ated a meta-classifier to detect the mes- sage-level sentiment of tweets. We par- ticipated in SemEval-2014 Task 9B by combining the results of several exist- ing classifiers using a random forest. The results of 5 other teams from the competition as well as from 7 general- purpose commercial classifiers were used to train the algorithm. This way, we were able to get a boost of up to 3.24 F1 score points.