Lu, AnnaAnstey, JackZhang, ZackWang, RuoheGillmann, ChristinaKrone, MichaelLenti, Simone2023-06-102023-06-102023978-3-03868-220-2https://doi.org/10.2312/evp.20231066https://diglib.eg.org:443/handle/10.2312/evp20231066Our 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.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing -> Information visualization; Applied computing -> Arts and humanitiesHuman centered computingInformation visualizationApplied computingArts and humanities10.2312/evp.2023106653-553 pages