Dance hit song prediction
|Title||Dance hit song prediction|
|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Herremans D., Martens D, Sörensen K.|
|Journal||Journal of New music Research|
|Type of Article||Special Issue on Music and Machine Learning|
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 di erent 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.