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Text analysis on user generated content: The rap lyrics challenge

Contributo in Atti di convegno
Data di Pubblicazione:
2018
Abstract:
This research proposes a hybrid approach that uses User Generated Contents as a corpus in order to create a multi-level resource, by combining linguistic, statistics and semantic data. The tool we create overcomes the lack of domain resources and provides a distant reading of one of the most significant cultural and linguistic phenomenon in recent years. We take advantage of techniques from Web Mining, Computational Linguistics and Information Design with the aim to make a large amount of extremely sparse data more accessible and understandable
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
User Generated Content; Text Analysis; Data Visualization; Semantic Analysis; Rap Music
Elenco autori:
Guarasci, Raffaele
Autori di Ateneo:
GUARASCI RAFFAELE
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/420108
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https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8418148
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