@inproceedings{pascucci-etal-2020-role,
title = "The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in {E}nglish Social Media Texts",
author = "Pascucci, Antonio and
Manna, Raffaele and
Masucci, Vincenzo and
Monti, Johanna",
booktitle = "Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/2020.trac-1.11",
pages = "69--75",
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.",
language = "English",
ISBN = "979-10-95546-56-6",
}
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%0 Conference Proceedings
%T The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts
%A Pascucci, Antonio
%A Manna, Raffaele
%A Masucci, Vincenzo
%A Monti, Johanna
%S Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying
%D 2020
%8 May
%I European Language Resources Association (ELRA)
%C Marseille, France
%@ 979-10-95546-56-6
%G English
%F pascucci-etal-2020-role
%X 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.
%U https://aclanthology.org/2020.trac-1.11
%P 69-75
Markdown (Informal)
[The Role of Computational Stylometry in Identifying (Misogynistic) Aggression in English Social Media Texts](https://aclanthology.org/2020.trac-1.11) (Pascucci et al., TRAC 2020)
ACL