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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Nave, M., Rita, P. & Guerreiro, J. (2018). A decision support system framework to track consumer sentiments in social media. Journal of Hospitality Marketing and Management. 27 (6), 693-710
Exportar Referência (IEEE) 
M. Nave et al.,  "A decision support system framework to track consumer sentiments in social media", in Journal of Hospitality Marketing and Management, vol. 27, no. 6, pp. 693-710, 2018
Exportar BibTeX 
@article{nave2018_1732403452783,
	author = "Nave, M. and Rita, P. and Guerreiro, J.",
	title = "A decision support system framework to track consumer sentiments in social media",
	journal = "Journal of Hospitality Marketing and Management",
	year = "2018",
	volume = "27",
	number = "6",
	doi = "10.1080/19368623.2018.1435327",
	pages = "693-710",
	url = "http://www.tandfonline.com/loi/whmm20"
}
Exportar RIS 
TY  - JOUR
TI  - A decision support system framework to track consumer sentiments in social media
T2  - Journal of Hospitality Marketing and Management
VL  - 27
IS  - 6
AU  - Nave, M.
AU  - Rita, P.
AU  - Guerreiro, J.
PY  - 2018
SP  - 693-710
SN  - 1936-8623
DO  - 10.1080/19368623.2018.1435327
UR  - http://www.tandfonline.com/loi/whmm20
AB  - With the evolution of web 2.0 and social networks, customers and companies’ online interaction is growing at a fast pace, containing valuable insights about consumers’ expectations that should be monitored and explored in a day-to-day basis. However, such information is highly unstructured and difficult to analyze. There is an urgent need to set up transparent methods and processes to integrate such information in the tourism industry technological infrastructure, especially for small firms that are unable to pay for expensive services to monitor their online reputation. The current paper uses a text mining and sentimental analysis technique to structure online reviews and present them on a decision support system with two different dashboards to assist in decision-making. Such system may help managers develop new insights and strategies aligned with consumers’ expectations in a much more flexible and sustainable pace.
ER  -