dc.creatorMontoro, Andrés
dc.creatorOlivas, José A.
dc.creatorNieto, Adan
dc.date2020-09
dc.date2020
dc.date2020-09-17T13:09:59Z
dc.date.accessioned2023-07-14T22:06:51Z
dc.date.available2023-07-14T22:06:51Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/104838
dc.identifierisbn:978-950-34-1927-4
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7445661
dc.descriptionThe main goal of this work focuses on solving the problem of analyzing the data coming from Social Media and exploring the mechanisms for the extraction and representation of knowledge from all the different disciplines outside the world of information Technologies. Soft Computing and Big Data techniques are used to deal with the challenges mentioned. This paper shows a mechanism to detect hate speech in Social Media using Soft Computing and Sentiment Analysis, and it also stablishes the base of a doctoral thesis.
dc.descriptionInstituto de Investigación en Informática
dc.descriptionInstituto de Investigación en Informática
dc.formatapplication/pdf
dc.format23-26
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectSoft Computing
dc.subjectFuzzy Logic
dc.subjectComputing with words
dc.subjectSocial Me­dia Mining
dc.subjectBig Data
dc.subjectText Mining
dc.titleAI for Hate Speech Detection in Social Media
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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