Phonetic Detection for Hate Speech Spreaders on Twitter

dc.creatorPuertas, Edwin
dc.creatorMartínez-Santos, Juan Carlos
dc.date.accessioned2022-01-28T20:01:16Z
dc.date.available2022-01-28T20:01:16Z
dc.date.created2022-01-28T20:01:16Z
dc.date.issued2021-09-24
dc.identifierPuertas, Edwin & Martinez Santos, Juan Carlos. (2021). Phonetic Detection for Hate Speech Spreaders on Twitter Notebook for PAN at CLEF 2021.
dc.identifierhttps://hdl.handle.net/20.500.12585/10419
dc.identifierhttp://ceur-ws.org/Vol-2936/paper-188.pdf
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio Universidad Tecnológica de Bolívar
dc.description.abstractNowadays, hate messages have become the object of study on social media. Efficient and effective detection of hate profiles requires various scientific disciplines, such as computational linguistics and sociology. Here, we illustrate how we used lexical and phonetic features to determine if the author spreads hate speech. This article presents a novel strategy for the characterization of the Twitter profile based on the generation of lexical and phonetic user features that serve as input to a set of classifiers. The results are part of our participation in the PAN 2021 in the CLEF in the task of Profiling Hate Speech Spreaders on Twitter.
dc.languageeng
dc.publisherCartagena de Indias
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.sourceCEUR Workshop Proceedings - vol. 2936
dc.titlePhonetic Detection for Hate Speech Spreaders on Twitter


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