Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism
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 lang...
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| Format: | Article |
| Language: | English |
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University of Algarve, ESGHT/CINTURS
2020-07-01
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| Series: | Tourism & Management Studies |
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| Online Access: | https://www.tmstudies.net/index.php/ectms/article/view/1331 |
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| author | Manuel Angel Fernández-Gámez Elias Bendodo-Benasayag José Ramón Sánchez.Serrano Maria Helena Pestana |
| author_facet | Manuel Angel Fernández-Gámez Elias Bendodo-Benasayag José Ramón Sánchez.Serrano Maria Helena Pestana |
| author_sort | Manuel Angel Fernández-Gámez |
| collection | DOAJ |
| description | 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. However, 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. |
| format | Article |
| id | doaj-art-7d62af1ae40445d8b6fb75845deb1137 |
| institution | OA Journals |
| issn | 2182-8466 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | University of Algarve, ESGHT/CINTURS |
| record_format | Article |
| series | Tourism & Management Studies |
| spelling | doaj-art-7d62af1ae40445d8b6fb75845deb11372025-08-20T01:57:55ZengUniversity of Algarve, ESGHT/CINTURSTourism & Management Studies2182-84662020-07-01163713Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism Manuel Angel Fernández-Gámez 0Elias Bendodo-Benasayag 1José Ramón Sánchez.Serrano 2Maria Helena Pestana3University of MálagaUniversity of Málaga Department of Finance and Accounting at University of Málaga ISCTE-IUL 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. However, 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. https://www.tmstudies.net/index.php/ectms/article/view/1331social media analysisonline communitiestourists’ preferencesrural tourismmultiple criteria decision analysis |
| spellingShingle | Manuel Angel Fernández-Gámez Elias Bendodo-Benasayag José Ramón Sánchez.Serrano Maria Helena Pestana Hybrid preference assessment for tourism research using solicited and unsolicited opinions: an application in rural tourism Tourism & Management Studies social media analysis online communities tourists’ preferences rural tourism multiple criteria decision analysis |
| title | 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_short | 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 |
| topic | social media analysis online communities tourists’ preferences rural tourism multiple criteria decision analysis |
| url | https://www.tmstudies.net/index.php/ectms/article/view/1331 |
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