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The fractal dimension of music: geography, popularity and sentiment analysis

Contributo in Atti di convegno
Data di Pubblicazione:
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.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
Music data analytics; Hierarchical clustering; Sentiment pattern discovery; Multi-source analytics
Elenco autori:
Pedreschi, Dino; Guidotti, Riccardo; Giannotti, Fosca; Rossetti, Giulio
Autori di Ateneo:
ROSSETTI GIULIO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/346801
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/346801/158430/prod_384754-doc_141099.pdf
Titolo del libro:
Smart Objects and Technologies for Social Good
Pubblicato in:
LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING
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URL

https://link.springer.com/chapter/10.1007/978-3-319-76111-4_19
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