2019
Journal article  Open Access

The italian music superdiversity. Geography, emotion and language: one resource to find them, one resource to rule them all

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

Music data analytics  Music sentiment analytics  Superdiversity  Music sentiment analysis  Media Technology  Hardware and Architecture  Multi-source analytics  Software  Computer Networks and Communications  Sentiment pattern discovery 

Globalization can lead to a growing standardization of musical contents. Using a cross-service multi-level dataset we investigate the actual Italian music scene. The investigation highlights the musical Italian superdiversity both individually analyzing the geographical and lexical dimensions and combining them. Using different kinds of features over the geographical dimension leads to two similar, comparable and coherent results, confirming the strong and essential correlation between melodies and lyrics. The profiles identified are markedly distinct one from another with respect to sentiment, lexicon, and melodic features. Through a novel application of a sentiment spreading algorithm and songs' melodic features, we are able to highlight discriminant characteristics that violate the standard regional political boundaries, reconfiguring them following the actual musical communicative practices.

Source: Multimedia tools and applications (Dordrecht. Online) 78 (2019): 3297–3319. doi:10.1007/s11042-018-6511-6

Publisher: Kluwer, Dordrecht , Paesi Bassi



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BibTeX entry
@article{oai:it.cnr:prodotti:397172,
	title = {The italian music superdiversity. Geography, emotion and language: one resource to find them, one resource to rule them all},
	author = {Pollacci L. and Guidotti R. and Rossetti G. and Giannotti F. and Pedreschi D.},
	publisher = {Kluwer, Dordrecht , Paesi Bassi},
	doi = {10.1007/s11042-018-6511-6},
	journal = {Multimedia tools and applications (Dordrecht. Online)},
	volume = {78},
	pages = {3297–3319},
	year = {2019}
}