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Billions of USD are invested in new artists and songs by the music industryevery year. This research provides a new strategy for assessing the hitpotential of songs, which can help record companies support their investmentdecisions. A number of models were developed that use both audio data, and anovel feature based on social media listening behaviour. The results show thatmodels based on early adopter behaviour perform well when predicting top 20dance hits.

Hit Song Prediction Based on Early Adopter Data and Audio Features