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

dc.contributor.authorKumar, A.
dc.contributor.authorDutt, V.
dc.contributor.authorGarcía Díaz, Vicente 
dc.contributor.authorNarang, S. K.
dc.date.accessioned2022-06-29T08:16:25Z
dc.date.available2022-06-29T08:16:25Z
dc.date.issued2021
dc.identifier.citationBulletin of Electrical Engineering and Informatics, 10(5), p. 2845-2856 (2021); doi:10.11591/eei.v10i5.3078
dc.identifier.issn2089-3191
dc.identifier.urihttp://hdl.handle.net/10651/63604
dc.format.extentp. 2845-2856
dc.language.isoeng
dc.relation.ispartofBulletin of Electrical Engineering and Informatics
dc.rights© 2021 Los autores
dc.rightsCC Reconocimiento - Compartir Igual 4.0 Internacional
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85116650979&doi=10.11591%2feei.v10i5.3078&partnerID=40&md5=2dcdeee891bd70797f551baba7a6ff8a
dc.titleTwitter sentimental analysis from time series facts: the implementation of enhanced support vector machine
dc.typejournal article
dc.identifier.doi10.11591/eei.v10i5.3078
dc.relation.publisherversionhttp://dx.doi.org/10.11591/eei.v10i5.3078
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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