Skip to content

Jupyter Notebook based interface to download and visualise music artists discography data, statistics and lyrics sentiment

Notifications You must be signed in to change notification settings

Err0neus/Santos-Discography-Analyser

Repository files navigation

Santos Discography / Lyrics Analyser

Ever wondered if those positively charged songs are more successful than others? How has the sentiment of a musician's lyrics changed over time? How rich is their vocabulary or how popular are their individual albums among fans? Then you're in the right place.

Santos Discography / Lyrics Analyser is a Jupyter Notebook (Python) based interface to download and visualise music artists' discography data, statistics and lyrics sentiment.

High level overview:

For any given musician/band name:

  • retrieves the discography of studio albums,
  • allows user to select albums from a list, then retrieves lyrics for songs on selected albums,
  • collects data such as owners and album ratings from DISCOGS.COM, album and song placement in official Billboard music charts,
  • performs lyrics sentiment analysis and generates scores,
  • with a simple user interface, allows users to browse a number of visalisations (by user defined period intervals where applicable).



Quick demo

<iframe width="560" height="315" src="https://www.youtube.com/embed/zorbor8p1Hc" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen></iframe>

Example visualisations:


• number of songs and albums over time [Example: David Bowie]


image01

• lexical diversity over time [Example: Eminem]

image02

• word clouds by album or period [Example: David Bowie]

image03


• Discogs album ratings and statistics [Example: Depeche Mode]

image04

image05


• lyrics sentiment scores across artist's discography [Example: Eminem]

image06.1

• lyrics sentiment scores by song in specific album [Example: Eminem]

image06.2

• success of tracks and albums in Billboard charts over time

image07

• success in Billboard charts vs lyrics sentiment [Example: David Bowie]

image08

• lyrics sentiment over time [Example: David Bowie]

image09

Dependencies:

APIs and web scraping
lyricsgenius
lxml.html
cssselect
discogs_client
requests
lyricsmaster
data processing and charts
matplotlib
pandas
numpy
time
seaborn
fuzzy_pandas
chord
UI
ipywidgets
IPython
tqdm
word processing
re
os
nltk
string
wordcloud

About

Jupyter Notebook based interface to download and visualise music artists discography data, statistics and lyrics sentiment

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •