analysing last.fm and spotify listening history. using playlists as models for classification using SVMs and MLPs
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Listening Analysis

Notebooks:

  • analysis for a intro to the dataset and premise
  • artist, album, track & playlist investigations
  • stats for high-level stats about the dataset (Spotify feature miss ratio)
  • playlist SVM using Scikit to classify tracks using the contents of playlists as models
  • playlist NN using a multi-layer perceptron to classify tracks using the contents of playlists as models

Combining Spotify & Last.fm data for exploring habits and trends Uses two data sources,

  1. Last.fm scrobbles
  2. Spotify audio features

The two are joined by searching Last.fm tracks on Spotify to get a Uri, the track name and artist name are provided for the query. These Uris can be used to retrieve Spotify feature descriptors.

SVM Comparison