The Fractal Dimension of Music: Geography, Popularity and Sentiment Analysis
GOODTECHS(2017)
摘要
Nowadays there is a growing standardization of musical contents. Our finding comes out from a cross-service multi-level dataset analysis where we study how geography affects the music production. The investigation presented in this paper highlights the existence of a “fractal” musical structure that relates the technical characteristics of the music produced at regional, national and world level. Moreover, a similar structure emerges also when we analyze the musicians’ popularity and the polarity of their songs defined as the mood that they are able to convey. Furthermore, the clusters identified are markedly distinct one from another with respect to popularity and sentiment.
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关键词
Music data analytics,Hierarchical clustering,Sentiment pattern discovery,Multi-source analytics
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