A project exploring different artists' popularity on Spotify and Apple Music. Project includes homegrown "top 10 artists" based on exposure through Twitter.
This project is an analysis of the top 10 Spotify and Apple Music artists (top charts from each platform recorded on 4/24/20). Tweets containing each artist's name were scraped and cleansed. The main focus of this project is to create a unique top 10 based just on the scraped tweets and observe the differences between this list, Spotify's list, and Apple Music's list. With the tweets, we created a "tweet rating" metric. The metric is meant to determine how "valuable" a tweet is in predicting the position of an artist in the top 10.
- Python: Version 3.7
- Packages: twython, pandas, numpy, seaborn, matplotlib, re, nltk, wordcloud, geopy