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dc.contributor.authorPérez Pupo, Iliana-
dc.contributor.authorPiñero Pérez, Pedro Yobanis-
dc.contributor.authorBello Pérez, Rafael E.-
dc.contributor.authorGarcía Vacacela, Roberto-
dc.contributor.authorMartín Amaro, Nayma-
dc.coverage.spatial1001206en_US
dc.date.accessioned2021-11-09T18:51:03Z-
dc.date.available2021-11-09T18:51:03Z-
dc.date.issued2021-10-
dc.identifier.issn2227.1899-
dc.identifier.urihttps://repositorio.uci.cu/jspui/handle/123456789/9623-
dc.description.abstractThis paper constitutes a systematic review of Linguistic Data Summarization theory and its trends. Authors analyzed the advantages and limitations of different techniques to generate linguistic summaries. In this investigation, authors discuss about the high variability of protoforms used by researches in several domains. This review exposes the strategy of validation of researches reported in bibliography. We identify the approaches in data summarization followed by the main authors. As conclusions, of this investigation, authors identify the following opportunities for improvement in this research area. One opportunity deals with the use of linguistic summaries not only for description, but also for prediction in making decisions problems. Other is about the necessity of new algorithms to facilitate the generation of linguistic summaries, and its applications in several domains.en_US
dc.language.isospaen_US
dc.publisherEdiciones Futuroen_US
dc.subjectRESUMENen_US
dc.subjectTOMA DE DECISIONESen_US
dc.titleLinguistic data summarization: a systematic reviewen_US
dc.typeconferenceObjecten_US
dc.rights.holderUniversidad de las Ciencias Informáticasen_US
dc.source.titleUCIENCIA 2021en_US
dc.source.conferencetitleIV Taller Internacional de Gestion de Proyectosen_US
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