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A Conversational Data Visualisation Platform for Hierarchical Multivariate Data

dc.contributor.authorKavaz, Ecemen_US
dc.contributor.authorRodríguez, Inmaculadaen_US
dc.contributor.authorPuig, Annaen_US
dc.contributor.authorVives, Eduarden_US
dc.contributor.editorGillmann, Christinaen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorLenti, Simoneen_US
dc.date.accessioned2023-06-10T06:31:25Z
dc.date.available2023-06-10T06:31:25Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-220-2
dc.identifier.urihttps://doi.org/10.2312/evp.20231053
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evp20231053
dc.description.abstractThis paper presents a novel data visualisation platform that integrates both direct manipulation and conversational interaction styles for analysing hierarchical multivariate data. The proposed architecture is based on the Rasa conversational AI framework. We show its full potential in a real-life case study for analysing hate speech in online news.en_US
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Human-centered computing -> Visualization; Visualization toolkits; Computing methodologies -> Natural language processing
dc.subjectHuman centered computing
dc.subjectVisualization
dc.subjectVisualization toolkits
dc.subjectComputing methodologies
dc.subjectNatural language processing
dc.titleA Conversational Data Visualisation Platform for Hierarchical Multivariate Dataen_US
dc.description.seriesinformationEuroVis 2023 - Posters
dc.identifier.doi10.2312/evp.20231053
dc.identifier.pages1-3
dc.identifier.pages3 pages


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Attribution 4.0 International License
Except where otherwise noted, this item's license is described as Attribution 4.0 International License