The CoLing Lab System for Sentiment Polarity Classification of Tweets

Jan 1, 2014·
Passaro, Lucia
,
Lebani, Gianluca
,
Pollacci, Laura
,
Chersoni, Emmanuele
,
Lenci, Alessandro
DOI
Type
Publication
Proceedings of the Fourth International Workshop EVALITA 2014
publications

Abstract

This paper describes the CoLing Lab system for the EVALITA 2014 SENTIment POLarity Classification (SENTIPOLC) task. Our system is based on a SVM classifier trained on the rich set of lexical, global and twitter-specific features described in these pages. Overall, our system reached a 0.63 weighted F-score on the test set provided by the task organizers.