Spotify

Power of Words: Lyric-based music recommendation

The goal of this project is to leverage the rich content of song lyrics to connect each song with relatable concepts such as moods, occasions, and themes. A direct application of this automatic tagging system would be to produce playlists associated with different emotions or serve specific purposes (after break-up songs, holiday music, party mix, et cetera). An initial target for final product would be a collection of moods and topics that a user can select to retrieve an associated list of songs.

Spotify playlist prediction

Spotify is a music, podcast, and video streaming service with 100 million active users. The company curates playlists that are followed by millions of users. These playlists are created by a combination of algorithmic and human-driven processes. The aim of our project is to make use of machine learning algorithms to improve the effectiveness of algorithmically curated playlists and to analyze what audio features contribute to the popularity of playlists.