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Export Reference (APA) 
 Fernández-Gámez, M. A., Bendodo-Benasayag, E., Sánchez-Serrano, J. R. & Pestana, M. H. (2020). Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism. Tourism and Management Studies. 16 (3), 7-13
Export Reference (IEEE) 
M. Á. Fernández-Gámez et al.,  "Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism", in Tourism and Management Studies, vol. 16, no. 3, pp. 7-13, 2020
Export BibTeX 
@article{fernández-gámez2020_1765675378965,
	author = " Fernández-Gámez, M. A. and Bendodo-Benasayag, E. and Sánchez-Serrano, J. R. and Pestana, M. H.",
	title = "Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism",
	journal = "Tourism and Management Studies",
	year = "2020",
	volume = "16",
	number = "3",
	doi = "10.18089/tms.2020.160301",
	pages = "7-13",
	url = "http://www.tmstudies.net/index.php/ectms/index"
}
Export RIS 
TY  - JOUR
TI  - Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism
T2  - Tourism and Management Studies
VL  - 16
IS  - 3
AU  -  Fernández-Gámez, M. A.
AU  - Bendodo-Benasayag, E.
AU  - Sánchez-Serrano, J. R.
AU  - Pestana, M. H.
PY  - 2020
SP  - 7-13
SN  - 2182-8458
DO  - 10.18089/tms.2020.160301
UR  - http://www.tmstudies.net/index.php/ectms/index
AB  - Social media analysis is a powerful tool for tourism research that, at a relatively low cost, can be used to manage and process large datasets of comments, ratings, and shares from different online communities. However, the heterogeneous nature of unsolicited opinions, the complexity of natural language assessment, and differences in the characteristics of social-data sources hinder the accurate assessment of preferences. Likewise, the use of solicited data sources, such as direct polling, is typically resource-intensive, time-consuming, and geographically limited. We analyze a hybrid approach that combines active polling with passive social media analysis to rate tourist experience. To  this end, we present a novel multiple criteria decision analysis model for preference-extraction from solicited and unsolicited data. The proposed approach can significantly reduce the number of polls required to accurately assess the preferences of a community, especially when surveying rural destinations, which are sparsely populated geographic areas situated outside cities and towns.
ER  -