Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice

UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitle11es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.grupoInvInformation Retrieval Lab (IRlab)es_ES
UDC.issue5es_ES
UDC.journalTitleInformationes_ES
UDC.startPage256es_ES
UDC.volume11es_ES
dc.contributor.authorMartín-Rodilla, Patricia
dc.contributor.authorSánchez, Miguel
dc.date.accessioned2020-06-12T15:30:15Z
dc.date.available2020-06-12T15:30:15Z
dc.date.issued2020-05-07
dc.description.abstract[Abstract] The intrinsic characteristics of humanities research require technological support and software assistance that also necessarily goes through the analysis of textual narratives. When these narratives become increasingly complex, pragmatics analysis (i.e., at discourse or argumentation levels) assisted by software is a great ally in the digital humanities. In recent years, solutions have been developed from the information visualization domain to support discourse analysis or argumentation analysis of textual sources via software, with applications in political speeches, debates, online forums, but also in written narratives, literature or historical sources. This paper presents a wide and interdisciplinary systematic literature review (SLR), both in software-related areas and humanities areas, on the information visualization and the software solutions adopted to support pragmatics textual analysis. As a result of this review, this paper detects weaknesses in existing works on the field, especially related to solutions’ availability, pragmatic framework dependence and lack of information sharing and reuse software mechanisms. The paper also provides some software guidelines for improving the detected weaknesses, exemplifying some guidelines in practice through their implementation in a new web tool, Viscourse. Viscourse is conceived as a complementary tool to assist textual analysis and to facilitate the reuse of informational pieces from discourse and argumentation text analysis tasks.es_ES
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad; FJCI-2016-6 28032es_ES
dc.description.sponsorshipMinisterio de Ciencia, Innovación y Universidades; RTI2018-093336-B-C21es_ES
dc.identifier.citationMartin-Rodilla, P.; Sánchez, M. Software Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practice. Information 2020, 11, 256. https://doi.org/10.3390/info11050256es_ES
dc.identifier.doihttps://doi.org/10.3390/info11050256
dc.identifier.doi10.3390/info11050256
dc.identifier.issn2078-2489
dc.identifier.urihttp://hdl.handle.net/2183/25711
dc.language.isoenges_ES
dc.publisherMDPI AGes_ES
dc.relation.urihttps://doi.org/10.3390/info11050256es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectDiscourse analysises_ES
dc.subjectArgumentation analysises_ES
dc.subjectInformation visualizationes_ES
dc.subjectSoftware assistancees_ES
dc.subjectViscoursees_ES
dc.subjectSystematic literature reviewes_ES
dc.subjectInformation reusees_ES
dc.titleSoftware Support for Discourse-Based Textual Information Analysis: A Systematic Literature Review and Software Guidelines in Practicees_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationa1440782-cd8e-4634-b8f3-936cc0220cdb
relation.isAuthorOfPublication.latestForDiscoverya1440782-cd8e-4634-b8f3-936cc0220cdb

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