Data di Pubblicazione:
2016
Abstract:
Musical genres can provide a representative overview of many social and linguistic phenomena. This work aims to analyze the Italian rap music, since this genre provides the most interesting cues for a textual analysis. The main focus of the work is the development of a tool able to map Italian rap language and to offer an overview of the rap universe. The analysis is performed using Natural Language Processing techniques and data visualization tools, in order to highlight latent relationships, categories and relevant features of the rap network.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Natural Language Processing; Domain language; User Generated Content
Elenco autori:
Guarasci, Raffaele
Link alla scheda completa:
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