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Relevant Parameters for the Classification of Reading Books Depending on the Degree of Textual Readability in Primary and Compulsory Secondary Education (CSE) Students

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dc.contributor.authorGil Ortego, Rosario
dc.contributor.authorMartínez Sánchez, Isabel
dc.date.accessioned2024-11-22T08:39:47Z
dc.date.available2024-11-22T08:39:47Z
dc.date.issued2019
dc.descriptionThe registered version of this article, first published in “IEEE Access, vol. 7, 2019", is available online at the publisher's website: IEEE, https://doi.org/10.1109/ACCESS.2019.2922608 La versión registrada de este artículo, publicado por primera vez en “IEEE Access, vol. 7, 2019", está disponible en línea en el sitio web del editor: IEEE, https://doi.org/10.1109/ACCESS.2019.2922608
dc.description.abstractThis paper tries to establish the most important parameters of readability when it comes to choosing reading books for students in the second and third stages of primary and compulsory secondary education (CSE). A computational system is postulated, through data-mining techniques, capable of automatically classify reading texts by virtue of syntactic, lexical, semantics, and topological parameters regarding their overall content. The validity of this process is ensured through a careful selection by editorial experts used to accomplish the same validation task among different texts. In this paper, the results in the automatic classification of the degree of readability reached are promising; they allow to continue with a deeper investigation in this field of analysis with the purpose of progressing in the age rank studied, as well as in the text themes defining the corpus.en
dc.description.versionversión publicada
dc.identifier.citationR. Gil Ortego and I. Martínez Sánchez, "Relevant Parameters for the Classification of Reading Books Depending on the Degree of Textual Readability in Primary and Compulsory Secondary Education (CSE) Students," in IEEE Access, vol. 7, pp. 79044-79055, 2019, doi: 10.1109/ACCESS.2019.2922608
dc.identifier.doihttps://doi.org/10.1109/ACCESS.2019.2922608
dc.identifier.issn2169-3536
dc.identifier.urihttps://hdl.handle.net/20.500.14468/24475
dc.journal.titleIEEE Access
dc.journal.volume7
dc.language.isoen
dc.page.final79055
dc.page.initial79044
dc.publisherIEEE
dc.relation.centerFacultades y escuelas::E.T.S. de Ingenieros Industriales
dc.relation.departmentIngeniería Eléctrica, Electrónica, Control, Telemática y Química Aplicada a la Ingeniería
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject33 Ciencias Tecnológicas::3306 Ingeniería y tecnología eléctricas
dc.subject.keywordsLinguisticsen
dc.subject.keywordsEducationen
dc.subject.keywordsSyntacticsen
dc.subject.keywordsSemanticsen
dc.subject.keywordsWeb pagesen
dc.subject.keywordsTask analysisen
dc.subject.keywordsMachine learning algorithmsen
dc.titleRelevant Parameters for the Classification of Reading Books Depending on the Degree of Textual Readability in Primary and Compulsory Secondary Education (CSE) Studentsen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication1c7bd784-8507-41fa-851e-5ce8d56b4f26
relation.isAuthorOfPublication4ad9c906-5b5e-4776-a94a-d83faea8a73c
relation.isAuthorOfPublication.latestForDiscovery1c7bd784-8507-41fa-851e-5ce8d56b4f26
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