dc.creatorMoreno-Sandoval, Luis Gabriel
dc.creatorPuertas, Edwin
dc.creatorPomares-Quimbaya, Alexandra
dc.creatorAlvarado-Valencia, Jorge Andres
dc.date.accessioned2023-07-21T15:47:38Z
dc.date.accessioned2023-09-06T15:49:22Z
dc.date.available2023-07-21T15:47:38Z
dc.date.available2023-09-06T15:49:22Z
dc.date.created2023-07-21T15:47:38Z
dc.date.issued2020
dc.identifierMoreno-Sandoval, L. G., Puertas, E., Pomares-Quimbaya, A., & Alvarado-Valencia, J. A. (s/f). Notebook for PAN at CLEF 2020. Webis.de. Recuperado el 14 de julio de 2023, de https://pan.webis.de/downloads/publications/papers/morenosandoval_2020.pdf
dc.identifierhttps://scopus.utb.elogim.com/record/display.uri?eid=2-s2.0-85121794424&origin=resultslist&sort=plf-f&src=s&sid=5b5924365d87681725a9d6c17daad1d5&sot=b&sdt=b&s=TITLE-ABS-KEY%28Assembly+of+polarity%2C+emotion+and+user+statistics+for+detection+of+fake+profiles+Notebook+for+PAN+at+CLEF+2020%29&sl=125&sessionSearchId=5b5924365d87681725a9d6c17daad1d5
dc.identifierhttps://hdl.handle.net/20.500.12585/12286
dc.identifierUniversidad Tecnológica de Bolívar
dc.identifierRepositorio Universidad Tecnológica de Bolívar
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8683190
dc.description.abstractThe explosive growth of fake news on social networks has aroused great interest from researchers in different disciplines. To achieve efficient and effective detection of fake news requires scientific contributions from various disciplines, such as computational linguistics, artificial intelligence, and sociology. Here we illustrate how polarity, emotion, and user statistics can be used to detect fake profiles on Twitter’s social network. This paper presents a novel strategy for the characterization of the Twitter profile based on the generation of an assembly of polarity, emotion, and user statistics characteristics that serve as input to a set of classifiers. The results are part of our participation in the PAN 2020 in the CLEF in the task of Profiling Fake News Spreaders on Twitter. Copyright © 2020 for this paper by its authors.
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
dc.titleAssembly of polarity, emotion and user statistics for detection of fake profiles Notebook for PAN at CLEF 2020


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