Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

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

Conference Paper
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
Authors of the University:
ROSSETTI GIULIO
Handle:
https://iris.cnr.it/handle/20.500.14243/346801
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/346801/158430/prod_384754-doc_141099.pdf
Book title:
Smart Objects and Technologies for Social Good
Published in:
LECTURE NOTES OF THE INSTITUTE FOR COMPUTER SCIENCES, SOCIAL INFORMATICS AND TELECOMMUNICATIONS ENGINEERING
Series
  • Overview

Overview

URL

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

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)