Can you Predict a Hit? Finding potential hit songs through last.FM predictors

dc.contributor.advisor	Vuurpijl, L.G.
dc.contributor.advisor	Grootjen, F.A.
dc.contributor.author	Smit, M.
dc.date.issued	2013-08-15
dc.description.abstract	In the field of Music Information Retrieval, studies on Hit Song Science are becoming more and more popular. The concept of predicting whether a song has the potential to become a hit song is an interesting challenge. This paper describes my research on how hit song predictors can be utilized to predict hit songs. Three subject groups of predictors were gathered from the Last.fm service, based on a selection of past hit songs from the record charts. By gathering new data from these predictors and using a term frequency-inversed document frequency algorithm on their listened tracks, I was able to determine which songs had the potential to become a hit song. The results showed that the predictors have a better sense on listening to potential hit songs in comparison to their corresponding control groups.	en_US
dc.identifier.uri	http://theses.ubn.ru.nl/handle/123456789/133
dc.language.iso	en	en_US
dc.thesis.faculty	Faculteit der Sociale Wetenschappen	en_US
dc.thesis.specialisation	Bachelor Artificial Intelligence	en_US
dc.thesis.studyprogramme	Artificial Intelligence	en_US
dc.thesis.type	Bachelor	en_US
dc.title	Can you Predict a Hit? Finding potential hit songs through last.FM predictors	en_US

Now showing 1 - 1 of 1