Paper: Lyrics-based Analysis and Classification of Music

ACL ID C14-1059
Title Lyrics-based Analysis and Classification of Music
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014

We present a novel approach for analysing and classifying lyrics, experimenting both with n- gram models and more sophisticated features that model different dimensions of a song text, such as vocabulary, style, semantics, orientation towards the world, and song structure. We show that these can be combined with n-gram features to obtain performance gains on three different classification tasks: genre detection, distinguishing the best and the worst songs, and determining the approximate publication time of a song.