The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts
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.
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