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Georeferencing sentiment scores to map and explore tourist points of interest

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Georeferencing sentiment scores to map and explore tourist points of interest

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dc.contributor.author Celardo, Luigi es_ES
dc.contributor.author Misuraca, Michelangelo es_ES
dc.contributor.author Spano, Maria es_ES
dc.date.accessioned 2024-01-11T12:59:13Z
dc.date.available 2024-01-11T12:59:13Z
dc.date.issued 2023-09-22
dc.identifier.isbn 9788413960869
dc.identifier.uri http://hdl.handle.net/10251/201799
dc.description.abstract [EN] Tourists are increasingly involved in co-creating attractions’ symbolic images, sharing their experiences and opinions on websites like TripAdvisor and other similar rating and review platforms. In this paper, we propose a strategy for analyzing people’ opinions about tourist points of interest, using an Ambient Geographic Information approach to georeference the polarity scores of reviews. Visualizing these scores on a map can be used to obtain helpful information for implementing strategic actions and policies of institutional and business actors involved in the tourist industry, as well as to help users plan their future experiences. A case study concerning the reviews of the restaurants in Naples (Italy) shows the effectiveness of the proposal. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Social media es_ES
dc.subject Polarity score es_ES
dc.subject Georeferenced sentiment es_ES
dc.title Georeferencing sentiment scores to map and explore tourist points of interest es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2023.2023.16429
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Celardo, L.; Misuraca, M.; Spano, M. (2023). Georeferencing sentiment scores to map and explore tourist points of interest. Editorial Universitat Politècnica de València. 115-122. https://doi.org/10.4995/CARMA2023.2023.16429 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Junio 28-30, 2023 es_ES
dc.relation.conferenceplace Sevilla, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16429 es_ES
dc.description.upvformatpinicio 115 es_ES
dc.description.upvformatpfin 122 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\16429 es_ES


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