Twitter sentimental analysis from time series facts: the implementation of enhanced support vector machine

dc.contributor.author	Kumar, A.
dc.contributor.author	Dutt, V.
dc.contributor.author	García Díaz, Vicente
dc.contributor.author	Narang, S. K.
dc.date.accessioned	2022-06-29T08:16:25Z
dc.date.available	2022-06-29T08:16:25Z
dc.date.issued	2021
dc.identifier.citation	Bulletin of Electrical Engineering and Informatics, 10(5), p. 2845-2856 (2021); doi:10.11591/eei.v10i5.3078
dc.identifier.issn	2089-3191
dc.identifier.uri	http://hdl.handle.net/10651/63604
dc.format.extent	p. 2845-2856
dc.language.iso	eng
dc.relation.ispartof	Bulletin of Electrical Engineering and Informatics
dc.rights	© 2021 Los autores
dc.rights	CC Reconocimiento - Compartir Igual 4.0 Internacional
dc.rights.uri	https://creativecommons.org/licenses/by-sa/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116650979&doi=10.11591%2feei.v10i5.3078&partnerID=40&md5=2dcdeee891bd70797f551baba7a6ff8a
dc.title	Twitter sentimental analysis from time series facts: the implementation of enhanced support vector machine
dc.type	journal article
dc.identifier.doi	10.11591/eei.v10i5.3078
dc.relation.publisherversion	http://dx.doi.org/10.11591/eei.v10i5.3078
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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