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

Antonio Pascucci, Raffaele Manna, Vincenzo Masucci, Johanna Monti


Abstract
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.
Anthology ID:
2020.trac-1.11
Volume:
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LREC | TRAC | WS
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
69–75
Language:
English
URL:
https://www.aclweb.org/anthology/2020.trac-1.11
DOI:
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PDF:
http://aclanthology.lst.uni-saarland.de/2020.trac-1.11.pdf