This article describes our system presented at the workshop for sentiment analysis TASS 2015. Our system approaches the task 1 of the workshop, which consists on performing an automatic sentiment analysis to determine the global polarity of a set of tweets in Spanish. To do this, our system is based on a model supervised Linear Support Vector Machines combined with some polarity lexicons. The inuence of the dierent linguistic features and the dierent sizes of n-grams in improving algorithm performance. Also the results obtained, the various tests that have been conducted, and a discussion of the results are presented.
['Juan Sixto Cesteros', 'Aitor Almeida', 'Diego López de Ipiña']
DeustoTech Internet at TASS 2015: Sentiment Analysis and Polarity Classification in Spanish Tweets.