Dance Hit Song Prediction
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Volume
43
Pagination
291 - 302
DOI
10.1080/09298215.2014.881888
Journal
Journal of New Music Research
Issue
ISSN
0929-8215
Metadata
Show full item recordAbstract
© 2014, © 2014 Taylor & Francis. Record companies invest billions of dollars in new talent around the globe each year. Gaining insight into what actually makes a hit song would provide tremendous benefits for the music industry. In this research we tackle this question by focussing on the dance hit song classification problem. A database of dance hit songs from 1985 until 2013 is built, including basic musical features, as well as more advanced features that capture a temporal aspect. A number of different classifiers are used to build and test dance hit prediction models. The resulting best model has a good performance when predicting whether a song is a ‘top 10’ dance hit versus a lower listed position.