Paper: SINAI: Voting System for Twitter Sentiment Analysis

ACL ID S14-2100
Title SINAI: Voting System for Twitter Sentiment Analysis
Venue Joint Conference on Lexical and Computational Semantics
Session
Year 2014
Authors

This article presents the participation of the SINAI research group in the task Sen- timent Analysis in Twitter of the SemEval Workshop. Our proposal consists of a voting system of three polarity classifiers which follow a lexicon-based approach.