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Humanities and Big Data in Ibero-America: Theory, methodology and practical applications
dc.contributor.author | Gallego Cuiñas, Ana María | |
dc.contributor.author | Torres Salinas, Daniel | |
dc.date.accessioned | 2024-04-09T08:41:12Z | |
dc.date.available | 2024-04-09T08:41:12Z | |
dc.date.issued | 2024 | |
dc.identifier.citation | Gallego Cuiñas, A. & Torres-Salinas, D. (2024). Humanities and Big Data in Ibero-America: Theory, methodology and practical applications. De Gruyter. https://doi.org/10.1515/9783110753523 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10481/90527 | |
dc.description.abstract | This volume presents the first comprehensive study on the relationship between the Human Sciences and Big Data, with special emphasis on the Ibero-American space. The volume is divided into three parts (theoretical, methodological and practical) with an interdisciplinary vision that integrates thought, culture, language, literature, theoretical criticism, society or the use of new bibliometric techniques. | es_ES |
dc.description.sponsorship | Esta publicación es resultado de la Unidad Científica de Excelencia “Iber-Lab. Crítica, Lenguas y Culturas en Iberoamérica” (Ref. UCE2018-04) de la Universidad de Granada | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | De Gruyter | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Artificial Intelligence | es_ES |
dc.subject | Spanish Literature | es_ES |
dc.subject | Philosophy | es_ES |
dc.subject | Ethics | es_ES |
dc.subject | Digital Humanities | es_ES |
dc.subject | Bibliometrics | es_ES |
dc.subject | Data Analysis | es_ES |
dc.subject | Literary Theory | es_ES |
dc.subject | Latin American Literature | es_ES |
dc.subject | Spanish Language | es_ES |
dc.subject | Big Data | es_ES |
dc.subject | Analytics | es_ES |
dc.subject | Data Mining | es_ES |
dc.title | Humanities and Big Data in Ibero-America: Theory, methodology and practical applications | es_ES |
dc.type | book | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | https://doi.org/10.1515/9783110753523 |