Attribute selection techniques for classification of aggressive tweets

Abstract

This paper describes the participation of our Research Group in the shared task of MexA3T 2019. We evaluated the impact of using as principal features, the set of terms identified as discriminant by distinct feature selection strategies. Our main goal was to test if a condensed set of words can be indicative of the aggressiveness of a short text written in a very informal setting (i.e., tweets). Our experiments indicate that different feature selection techniques favor different aspects of the aggressiveness in a short text.