How does this work?
Groover implements a neural network to generate music
recommendations based on your favorite song's lyrical content. We measure
document similarity between the lyrics of an input song and the lyrics
of 57,000 songs on our pre-trained neural network model and give you the
best matches.
This was developed by Siena Guerrero,
Trevor Walker, Walker Quinn, Teresa Ibarra, and Jocelyn Chen for their
CS121 Software Development project at Harvey Mudd College in Spring 2019.
View Groover’s Github here.
