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Artículo

dc.creatorPaluzo Hidalgo, Eduardoes
dc.creatorGonzález Díaz, Rocíoes
dc.creatorGutiérrez Naranjo, Miguel Ángeles
dc.date.accessioned2020-06-22T15:31:30Z
dc.date.available2020-06-22T15:31:30Z
dc.date.issued2019
dc.identifier.citationPaluzo Hidalgo, E., González Díaz, R. y Gutiérrez Naranjo, M.Á. (2019). Towards a Philological Metric through a Topological Data Analysis Approach. ArXiv.org, arXiv:1912.09253
dc.identifier.urihttps://hdl.handle.net/11441/98113
dc.description.abstractThe canon of the baroque Spanish literature has been thoroughly studied with philological techniques. The major representatives of the poetry of this epoch are Francisco de Quevedo and Luis de Góngora y Argote. They are commonly classified by the literary experts in two different streams: Quevedo belongs to the Conceptismo and Góngora to the Culteranismo. Besides, traditionally, even if Quevedo is considered the most representative of the Conceptismo, Lope de Vega is also considered to be, at least, closely related to this literary trend. In this paper, we use Topological Data Analysis techniques to provide a first approach to a metric distance between the literary style of these poets. As a consequence, we reach results that are under the literary experts’ criteria, locating the literary style of Lope de Vega, closer to the one of Quevedo than to the one of Góngora.es
dc.formatapplication/pdfes
dc.format.extent12es
dc.language.isoenges
dc.publisherCornell Universityes
dc.relation.ispartofArXiv.org, arXiv:1912.09253
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPhilological metrices
dc.subjectSpanish Golden Age Poetses
dc.subjectWord embeddinges
dc.subjectTopological data analysises
dc.subjectSpanish literaturees
dc.titleTowards a Philological Metric through a Topological Data Analysis Approaches
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Matemática Aplicada I (ETSII)es
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificiales
dc.relation.publisherversionhttps://arxiv.org/abs/1912.09253es
dc.journaltitleArXiv.orges
dc.publication.issuearXiv:1912.09253es

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