Abstract
This paper describes a SVM-approach for Sentiment Analysis
(SA) in Twitter for Spanish. This task was part of the TASS2013
workshop, which is a framework for SA that is focused on the Spanish
language. We describe the approach used, and we present an experimental
comparison of the approaches presented by the dierent teams
that took part in the competition. We also describe the improvements
that were added to our system after our participation in the competition.
With these improvements, we obtained an accuracy of 62.88% and
70.25% on the SA test set for 5-level and 3-level tasks respectively. To
our knowledge, these results are the best results published until now for
the SA tasks of the TASS2013 workshop.
