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dc.contributor.authorLu, Annaen_US
dc.contributor.authorAnstey, Jacken_US
dc.contributor.authorZhang, Zacken_US
dc.contributor.authorWang, Ruoheen_US
dc.contributor.editorGillmann, Christinaen_US
dc.contributor.editorKrone, Michaelen_US
dc.contributor.editorLenti, Simoneen_US
dc.date.accessioned2023-06-10T06:31:35Z
dc.date.available2023-06-10T06:31:35Z
dc.date.issued2023
dc.identifier.isbn978-3-03868-220-2
dc.identifier.urihttps://doi.org/10.2312/evp.20231066
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/evp20231066
dc.description.abstractOur interactive visualization, Project iMuse [SA22a], provides the unique ability to view the most used words in popular music over the past 50+ years in conjunction with how they were used in songs through sentiment analysis. To aid in more detailed analyses, Project iMuse has the ability to dynamically consider a variety of user defined subsets. These subsets are created through the user interaction, which includes changing the range of years considered and selecting particular word types.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 -> Information visualization; Applied computing -> Arts and humanities
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectApplied computing
dc.subjectArts and humanities
dc.titleProject iMuse: an Interactive Visualizer of Lyrical Sentimenten_US
dc.description.seriesinformationEuroVis 2023 - Posters
dc.identifier.doi10.2312/evp.20231066
dc.identifier.pages53-55
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