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dc.date.accessioned 2020-09-17T13:09:59Z
dc.date.available 2020-09-17T13:09:59Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/104838
dc.description.abstract The 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. en
dc.format.extent 23-26 es
dc.language en es
dc.subject Soft Computing es
dc.subject Fuzzy Logic es
dc.subject Computing with words es
dc.subject Social Me­dia Mining es
dc.subject Big Data es
dc.subject Text Mining es
dc.title AI for Hate Speech Detection in Social Media en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-1927-4 es
sedici.creator.person Montoro, Andrés es
sedici.creator.person Olivas, José A. es
sedici.creator.person Nieto, Adan es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigación en Informática es
mods.originInfo.place Instituto de Investigación en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2020-09
sedici.relation.event VIII Conference on Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 8 al 10 de septiembre de 2020) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/103585 es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/103585 es
sedici.relation.bookTitle Short Papers of the 8th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2020) es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)