Analysis of the online public opinion on the web platform Tripadvisor on Spain's industrial mining heritage by structuring the data for sentiment analysis.
| dc.centro | Facultad de Turismo | es_ES |
| dc.contributor.author | Soto Rumiche, Marco Antonio | |
| dc.contributor.author | Rodríguez-Marín, Francisco José | |
| dc.date.accessioned | 2025-06-06T09:31:34Z | |
| dc.date.available | 2025-06-06T09:31:34Z | |
| dc.date.issued | 2024-06-30 | |
| dc.departamento | Historia del Arte | es_ES |
| dc.description | 1.027 / 5.000 Este estudio examina la percepción de los visitantes sobre el patrimonio minero industrial en España, un sector de gran valor cultural y económico que ha propiciado la creación de museos y parques mineros, transformados en productos turísticos. Mediante técnicas de minería de texto y procesamiento del lenguaje natural, se analizaron las reseñas online de Tripadvisor sobre nueve recursos del patrimonio minero industrial distribuidos en diferentes comunidades autónomas españolas. El objetivo principal fue investigar cómo los visitantes describen y evalúan sus experiencias en estos sitios. Los resultados indicaron una percepción generalmente positiva, con visitantes que citaron con frecuencia términos como "interesante", "recomendable" y "espectacular". Sin embargo, también se identificaron puntos críticos, especialmente en relación con la duración y la exigencia física de las visitas. Este estudio destaca la importancia educativa y estética de estos sitios, reconociendo su valor para la enseñanza de la historia de la minería industrial y para ofrecer turismo cultural. | es_ES |
| dc.description.abstract | This study examines visitors' perceptions of industrial mining heritage in Spain, a sector of significant cultural and economic value that has led to the establishment of museums and mining parks, which have been transformed into tourism products. Using text mining and natural language processing techniques, Tripadvisor’s online reviews of nine industrial mining heritage resources distributed across different autonomous communities in Spain were analysed. The primary objective was to investigate how visitors describe and evaluate their experiences at these sites. The results indicated a generally positive perception, with visitors frequently citing terms such as "interesting," "recommendable," and "spectacular." However, critical points were also identified, particularly in relation to the duration and physical demands of the visits. This study highlights the educational and aesthetic importance of these sites, recognising their value in teaching the history of industrial mining and in offering cultural tourism. | es_ES |
| dc.identifier.doi | 10.4995/HEDIT2024.2024.18086 | |
| dc.identifier.uri | https://hdl.handle.net/10630/38915 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Universidad Politécnica de Valencia | es_ES |
| dc.relation.eventdate | 20-21 de junio de 2024 | es_ES |
| dc.relation.eventplace | Valencia | es_ES |
| dc.relation.eventtitle | International Congress for Heritage Digital Technologies and Tourism Management | es_ES |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 Internacional | * |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
| dc.subject | Patrimonio minero - España | es_ES |
| dc.subject | Turismo | es_ES |
| dc.subject | Investigación cualitativa | es_ES |
| dc.subject | Minería de datos | es_ES |
| dc.subject.other | Mining park | es_ES |
| dc.subject.other | Tripadvisor | es_ES |
| dc.subject.other | Sentiment analysis | es_ES |
| dc.subject.other | Text mining | es_ES |
| dc.subject.other | NLP | es_ES |
| dc.subject.other | Qualitative research | es_ES |
| dc.title | Analysis of the online public opinion on the web platform Tripadvisor on Spain's industrial mining heritage by structuring the data for sentiment analysis. | es_ES |
| dc.title.alternative | Análisis de la opinión pública on line en la plataforma web Trip Advisor del patrimonio industrial minero mediante analísis de sentimiento estructurado | es_ES |
| dc.type | conference output | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 4b27b593-e7ea-4f01-ad3c-aef054ab65e8 | |
| relation.isAuthorOfPublication.latestForDiscovery | 4b27b593-e7ea-4f01-ad3c-aef054ab65e8 |
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