DataBased is a set of scripts that will scrape a hip-hop dataset to be used at your discretion. If you do not want to build your own set, exported collections can be found in JSON format in the Raw_JSON archive. To build the set in MongoDB, see INSTRUCTIONS.md.

#Schema

• Artists

  • genres (array of strings)
  • related artists (array of artists with genres, names, spotify info) (max 20)
  • Spotify ID (as "id")
  • ID on Genius
  • last.fm tags (count, url to tag, tag name)

• Songs

  • title
  • url to lyrics on Genius
  • Genius name of artist associated with song
  • Genius ID of song

• Lyrics

  • Genius ID of song
  • text
  • title of song

In the Goodies folder, you will find wordclouds generated using WordCloud.py, a graph of related artists generated in R, and samples of lyrics generated by neural networks trained on specific artists (using char-rnn)

#TO-DO:

• Scrape audio-features for songs from spotify
• Run my own analytics, including:
  • swearing metrics for songs/artists
  • unique word counts for artists for set lyric set size
  • references to places
  • etc...