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DeepReading @ SardiStance 2020: Combining Textual, Social and Emotional Features
International Workshop on Evaluation of Natural Language and Speech Tools for Italian
In this paper we describe our participation to the SardiStance shared task held at EVALITA 2020. We developed a set of classifiers that combined text features, such as the best performing systems based on large pre-trained language models, together with user profile features, such as psychological traits and social media user interactions. The classification algorithms chosen for our models were various monolingual and multilingual Transformer models for text only classification, and XGBoostdblp:conf/evalita/EspinosaARC20 fatcat:y4d23nj6enhftdvbk4hhcw7ryu