Automatic Identification of Misogyny in English and Italian Tweets at EVALITA 2018 with a Multilingual Hate Lexicon
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5 juin 2019
- doi: 10.4000/books.aaccademia.4724
- isbn: 9788831978422
- eisbn: 9788831978699
https://creativecommons.org/licenses/by-nc-nd/4.0/ , info:eu-repo/semantics/openAccess
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elaborazione del linguaggio naturale strumenti del linguaggio traitement du langage naturel outils du langage Natural Language Processing Speech Tools Language & Linguistics LAN009000 CFSujets proches
Field guides Keys (Identification guides) Identification guides Women-hating Forensic identificationCiter ce document
Endang Wahyu Pamungkas et al., « Automatic Identification of Misogyny in English and Italian Tweets at EVALITA 2018 with a Multilingual Hate Lexicon », Accademia University Press, ID : 10.4000/books.aaccademia.4724
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Résumé
In this paper we describe our submission to the shared task of Automatic Misogyny Identification in English and Italian Tweets (AMI) organized at EVALITA 2018. Our approach is based on SVM classifiers and enhanced by stylistic and lexical features. Additionally, we analyze the use of the novel HurtLex multilingual linguistic resource, developed by enriching in a computational and multilingual perspective of the hate words Italian lexicon by the linguist Tullio De Mauro, in order to investigate its impact in this task.