Honors Projects

Abstract

This study explores the presence of optimal differentiation in music at the feature level by genre. Popularity prediction models are constructed and used to identify influential features in predicting popularity in each genre. These influential features are then assessed for optimal differentiation of the most popular songs from all songs in the genre.

Department

Mathematics and Statistics

Major

Mathematics

First Advisor

Dr. Umar Islambekov

First Advisor Department

Mathematics and Statistics

Second Advisor

Dr. Jeremy Harmon

Second Advisor Department

Music Education

Publication Date

Spring 4-27-2022

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