An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis

dc.contributor.author	García Díaz, Vicente
dc.contributor.author	Pascual Espada, Jordán
dc.contributor.author	González Crespo, Rubén Arístides
dc.contributor.author	Pelayo García-Bustelo, Begoña Cristina
dc.contributor.author	Cueva Lovelle, Juan Manuel
dc.date.accessioned	2017-10-31T10:48:05Z
dc.date.available	2017-10-31T10:48:05Z
dc.date.issued	2018
dc.identifier.citation	Applied Soft Computing Journal, 67, p. 822-833 (2018); doi:10.1016/j.asoc.2017.05.038
dc.identifier.issn	1568-4946
dc.identifier.uri	http://hdl.handle.net/10651/44018
dc.language.iso	eng
dc.relation.ispartof	Applied Soft Computing Journal
dc.rights	©,
dc.rights	CC Reconocimiento – No Comercial – Sin Obra Derivada 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020473149&doi=10.1016%2fj.asoc.2017.05.038&partnerID=40&md5=50a6aea5877792fc71ad354ca79fb8e4
dc.title	An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis	eng
dc.type	journal article
dc.identifier.doi	10.1016/j.asoc.2017.05.038
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.asoc.2017.05.038
dc.rights.accessRights	open access
dc.type.hasVersion	AM

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