Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism
Abstract 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.
Main Authors: | , , , |
---|---|
Format: | Digital revista |
Language: | English |
Published: |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve
2020
|
Online Access: | http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
oai:scielo:S2182-84582020000300007 |
---|---|
record_format |
ojs |
spelling |
oai:scielo:S2182-845820200003000072021-10-22Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourismFernández-Gámez,Manuel ÁngelBendodo-Benasayag,EliasSánchez-Serrano,José RamónPestana,Maria Helena Social media analysis online communities tourists’ preferences rural tourism multiple criteria decision analysis Abstract 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.info:eu-repo/semantics/openAccessEscola Superior de Gestão, Hotelaria e Turismo da Universidade do AlgarveTourism & Management Studies v.16 n.3 20202020-09-01info:eu-repo/semantics/articletext/htmlhttp://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007en10.18089/tms.2020.160301 |
institution |
SCIELO |
collection |
OJS |
country |
Portugal |
countrycode |
PT |
component |
Revista |
access |
En linea |
databasecode |
rev-scielo-pt |
tag |
revista |
region |
Europa del Sur |
libraryname |
SciELO |
language |
English |
format |
Digital |
author |
Fernández-Gámez,Manuel Ángel Bendodo-Benasayag,Elias Sánchez-Serrano,José Ramón Pestana,Maria Helena |
spellingShingle |
Fernández-Gámez,Manuel Ángel Bendodo-Benasayag,Elias Sánchez-Serrano,José Ramón Pestana,Maria Helena Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
author_facet |
Fernández-Gámez,Manuel Ángel Bendodo-Benasayag,Elias Sánchez-Serrano,José Ramón Pestana,Maria Helena |
author_sort |
Fernández-Gámez,Manuel Ángel |
title |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_short |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_full |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_fullStr |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_full_unstemmed |
Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
title_sort |
hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism |
description |
Abstract 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. |
publisher |
Escola Superior de Gestão, Hotelaria e Turismo da Universidade do Algarve |
publishDate |
2020 |
url |
http://scielo.pt/scielo.php?script=sci_arttext&pid=S2182-84582020000300007 |
work_keys_str_mv |
AT fernandezgamezmanuelangel hybridpreferenceassessmentfortourismresearchusingsolicitedandunsolicitedopinionsanapplicationinruraltourism AT bendodobenasayagelias hybridpreferenceassessmentfortourismresearchusingsolicitedandunsolicitedopinionsanapplicationinruraltourism AT sanchezserranojoseramon hybridpreferenceassessmentfortourismresearchusingsolicitedandunsolicitedopinionsanapplicationinruraltourism AT pestanamariahelena hybridpreferenceassessmentfortourismresearchusingsolicitedandunsolicitedopinionsanapplicationinruraltourism |
_version_ |
1756003942482837504 |