The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts
Antonio Pascucci, Raffaele Manna, Vincenzo Masucci, Johanna Monti
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In this paper, we describe UniOr\_ExpSys team participation in TRAC-2 (Trolling, Aggression and Cyberbullying) shared task, a workshop organized as part of LREC 2020. TRAC-2 shared task is organized in two sub-tasks: Aggression Identification (a 3-way classification between ``Overtly Aggressive'', ``Covertly Aggressive'' and ``Non-aggressive'' text data) and Misogynistic Aggression Identification (a binary classifier for classifying the texts as ``gendered'' or ``non-gendered''). Our approach is based on linguistic rules, stylistic features extraction through stylometric analysis and Sequential Minimal Optimization algorithm in building the two classifiers.