Skip to content

borrokk/IE_Project-Canephora

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 

Repository files navigation

CANEPHORA - The data science of Music

Part 1

The (Data) Science of Kpop: Understanding BTS through Data and A.I.

Many media outlets have raised and answered their own question of what makes BTS so unique compared to other K-pop groups. Here, we have data science, in which we use both traditional and cutting-edge techniques to scientifically explore BTS' true uniqueness, if such a thing exists. This notebook examines two major aspect of BTS: their songs(features) and their lyrics. As many fans have claimed that BTS' lyrics are different compared to their competitors (as well as their music), We will examine and answer these two major claims in this notebook. This analysis will help us to compare the qualities of the top performing artists and songs to devise a way to find out if a certain song will be successful on Billboard. As BTS are known for being Billboard Number 1 artist.

Part 2

Multilayer perceptron on Spotify audio features to :

  1. Identify the song and artist from its characteristics(musical)

  2. Identify whether song is by male or female kpop group

  3. Analyse characteristics of song to determine its popularity

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published