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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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Publication Year
2022-01-01
Journal
Proceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
Proceedings - 2022 IEEE 12th Symposium on Large Data Analysis and Visualization, LDAV 2022
Keyword
Human-centered computingVisualizationVisualization systems and toolsVisualization Toolkits
Mesh Keyword
Exploration toolsHuman-centered computingIntuitive understandingSankey diagramVisual metaphorVisual variablesVisualization systemVisualization techniqueVisualization toolkitsVisualization tools
All Science Classification Codes (ASJC)
Media TechnologyModeling and SimulationArtificial IntelligenceInformation Systems
Abstract
This 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.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36827
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85144614787&origin=inward
DOI
https://doi.org/10.1109/ldav57265.2022.9966401
Journal URL
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9966414
Type
Conference
Funding
This 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).
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