ELiRF: A Support Vector Machine Approach for Sentiment Analysis Tasks in Twitter at SemEval-2015

This paper describes our participation at tasks 10 (sub-task B, Message Polarity Classifica-tion) and 11 task (Sentiment Analysis of Fig-urative Language in Twitter) of Semeval2015. We describe the Support Vector Machine sys-tem we used in this competition. We also present the relevant feature set that we take into account in our models. Finally, we show the results we obtained in this competition and some conclusions.