Aggressiveness Detection through Deep Learning Approaches

This paper presents a description of our participation in task “MEX-A3T: Authorship and aggressiveness analysis in Twitter: case study in Mexican Spanish” at Iberian Languages Evaluation Forum (IberLEF) 2019. This work is focused on studying the detection of aggressiveness on Spanish tweets. For a finer-grained study of the task, we analyzed three different approaches: the first two approaches consider the design of architectures using convolutional and recurrent neural networks. Meanwhile, the third approach is focused on pay attention to certain important parts of a sentence using self-attention networks.