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Exploration Tool for Effectively Interpreting the Visual Metaphor Process of Sentiment Visualization
  • Ha, Hyoji ;
  • Moon, Kwanghyuk ;
  • Joung, Hyerim ;
  • Kim, Hyegyeong ;
  • Lee, Kyungwon
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dc.contributor.authorHa, Hyoji-
dc.contributor.authorMoon, Kwanghyuk-
dc.contributor.authorJoung, Hyerim-
dc.contributor.authorKim, Hyegyeong-
dc.contributor.authorLee, Kyungwon-
dc.date.issued2022-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36827-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85144614787&origin=inward-
dc.description.abstractThis study proposes an exploration tool for users' intuitive understanding of visual metaphor processes in sentiment visualization cases. To create the exploration tool, we conducted the following procedure 1) Extract sentences about visual metaphor and use 'Target, Intermediation, Representation, Visual Variables, Visualization Technique' as a taxonomy to analyze metaphor processes in the collected cases. 2) Create Network to suggest the relationship between representation and intermediation. 3) Utilize Sankey Diagram to perceive the frequent metaphor process patterns in stages.-
dc.description.sponsorshipThis research was supported by the MIST(Ministry of Science, ICT), Korea, under the National Program for Excellence in SW), supervised by the IITP(Institute of Information & communications Technology Planning & Evaluation) in 2022(2022-0-01077).-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshExploration tools-
dc.subject.meshHuman-centered computing-
dc.subject.meshIntuitive understanding-
dc.subject.meshSankey diagram-
dc.subject.meshVisual metaphor-
dc.subject.meshVisual variables-
dc.subject.meshVisualization system-
dc.subject.meshVisualization technique-
dc.subject.meshVisualization toolkits-
dc.subject.meshVisualization tools-
dc.titleExploration Tool for Effectively Interpreting the Visual Metaphor Process of Sentiment Visualization-
dc.typeConference-
dc.citation.conferenceName12th IEEE Symposium on Large Data Analysis and Visualization, LDAV 2022-
dc.citation.editionProceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022-
dc.citation.titleProceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022-
dc.identifier.bibliographicCitationProceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022-
dc.identifier.doi10.1109/ldav57265.2022.9966401-
dc.identifier.scopusid2-s2.0-85144614787-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9966414-
dc.subject.keywordHuman-centered computing-
dc.subject.keywordVisualization-
dc.subject.keywordVisualization systems and tools-
dc.subject.keywordVisualization Toolkits-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaMedia Technology-
dc.subject.subareaModeling and Simulation-
dc.subject.subareaArtificial Intelligence-
dc.subject.subareaInformation Systems-
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