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

2018

Conference article Open Access

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

Pollacci L., Rossetti G., Guidotti R., Giannotti F., Pedreschi D.

Music data analytics Settore INF/01 - Informatica Multi-source analytic Multi-source analytics Music data analytic Hierarchical clustering Sentiment pattern discovery

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.

Source: GOODTECHS 2017 - Third International Conference on Smart Objects and Technologies for Social Good, pp. 183–194, Pisa, Italy, 29-30 November 2017

Metrics

Back to previous page

Cite as

BibTeX entry

@inproceedings{oai:it.cnr:prodotti:384754,
	title = {The fractal dimension of music: geography, popularity and sentiment analysis},
	author = {Pollacci L. and Rossetti G. and Guidotti R. and Giannotti F. and Pedreschi D.},
	doi = {10.1007/978-3-319-76111-4_19},
	booktitle = {GOODTECHS 2017 - Third International Conference on Smart Objects and Technologies for Social Good, pp. 183–194, Pisa, Italy, 29-30 November 2017},
	year = {2018}
}