Hate Speech Detection using Attention-based LSTM
Gretel Liz De la Peña Sarracén, Reynaldo Gil Pons, Carlos Enrique Muñiz Cuza, Paolo Rosso · Accademia University Press eBooks · 2018
This paper describes the system we developed for EVALITA 2018, the 6th evaluation campaign of Natural Language Processing and Speech tools for Italian, on Hate Speech Detection (HaSpeeDe). The task consists in automatically annotating Italian messages from two popular micro-blogging platforms, Twitter and Facebook, with a boolean value indicating the presence or not of hate speech. We propose an Attention-based in Long Short-Term Memory Recurrent Neural Network where the attention layer helps to calculate the contribution of each part of the text towards targeted hateful messages.