Musical Moods: Musical Sentiment Network Analysis

Context

Music has an innate ability to evoke complex emotional states. Studying how these emotions interact and overlap in large song catalogs is a highly interesting task for music recommendation systems.

In order to model and mathematically and visually understand the relationship between different moods, I developed Musical Moods Network, an interactive data science project that models the emotions of the MuSe (Multimodal Music Sentiment Analysis) dataset as a complex network of undirected graphs.