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Title
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Dance hit song prediction
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Author
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Abstract
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| 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. Keywords: machine learning, databases, information retrieval, music analysis |
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Language
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English
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Source (journal)
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Journal of new music research. - Lisse
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Publication
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Lisse
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2014
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ISSN
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0929-8215
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DOI
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10.1080/09298215.2014.881888
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Volume/pages
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43
:3
(2014)
, p. 291-302
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ISI
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000342325300005
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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