Publication Date:
2018
abstract:
Nowadays there is a growing standardization of musical con- tents. 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' popular- ity 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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Music data analytics; Hierarchical clustering; Sentiment pattern discovery; Multi-source analytics
List of contributors:
Pedreschi, Dino; Guidotti, Riccardo; Giannotti, Fosca; Rossetti, Giulio
Full Text:
Book title:
Smart Objects and Technologies for Social Good