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
- URL:
- https://www.aclweb.org/anthology/2020.trac-1.11
- DOI:
- PDF:
- https://www.aclweb.org/anthology/2020.trac-1.11.pdf
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