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An Integrated Methodology for Approaching Sentiment Analysis in Business Domain

Articolo
Data di Pubblicazione:
2017
Abstract:
The paper provides a methodology for approaching sentiment analysis in the business domain. It involves the different phases that compose the sentiment analysis processing (sentiment extraction, sentiment changes detection and sentiment prediction). Each phase involves different steps and some examples of approaches/methods/models to perform them. An example of an application scenario for the methodology is defined in the paper.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
sentiment analysis; social media; sentiment extraction; sentiments chances detection; sentiment prediction
Elenco autori:
Grifoni, Patrizia; Ferri, Fernando; D'Andrea, Alessia
Autori di Ateneo:
D'ANDREA ALESSIA
FERRI FERNANDO
GRIFONI PATRIZIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/331502
Pubblicato in:
INTERNATIONAL BUSINESS RESEARCH
Journal
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URL

http://www.ccsenet.org/journal/index.php/ibr/article/view/69044/38314
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