Project iMuse: an Interactive Visualizer of Lyrical Sentiment
| dc.contributor.author | Lu, Anna | en_US |
| dc.contributor.author | Anstey, Jack | en_US |
| dc.contributor.author | Zhang, Zack | en_US |
| dc.contributor.author | Wang, Ruohe | en_US |
| dc.contributor.editor | Gillmann, Christina | en_US |
| dc.contributor.editor | Krone, Michael | en_US |
| dc.contributor.editor | Lenti, Simone | en_US |
| dc.date.accessioned | 2023-06-10T06:31:35Z | |
| dc.date.available | 2023-06-10T06:31:35Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | Our 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.description.seriesinformation | EuroVis 2023 - Posters | |
| dc.identifier.doi | 10.2312/evp.20231066 | |
| dc.identifier.isbn | 978-3-03868-220-2 | |
| dc.identifier.pages | 53-55 | |
| dc.identifier.pages | 3 pages | |
| dc.identifier.uri | https://doi.org/10.2312/evp.20231066 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/evp20231066 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Human-centered computing -> Information visualization; Applied computing -> Arts and humanities | |
| dc.subject | Human centered computing | |
| dc.subject | Information visualization | |
| dc.subject | Applied computing | |
| dc.subject | Arts and humanities | |
| dc.title | Project iMuse: an Interactive Visualizer of Lyrical Sentiment | en_US |