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Explore computational analysis of emotional expression through a 22-minute lecture examining how emotions are "painted" or conveyed in both musical compositions and textual works. Learn about research methodologies for analyzing emotional content within large corpora of music and text, as Professor Michael Scott Asato Cuthbert presents findings from his collaborative paper with Sophia Sun. Discover how computational tools can identify and quantify emotional patterns across different artistic mediums, gaining insights into the intersection of music theory, text analysis, and digital humanities research methods.
Syllabus
Video 12a: Painting Emotions in Music and Text
Taught by
MIT OpenCourseWare