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Tourism analytics with massive user-generated content: A case study of Barcelona
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“Studies, such as those of Marine-Roig and Clavé [47] and Xiang et al. [74], suggested that big data provides a huge amount of detail that contains deep-structure information on experiences, feelings, interests and opinions.”
From A Big Data Analytics Method for Tourist Behaviour Analysis (2017) · cites this paper as [47]
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Cites
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Research works printed but not linked: 2
- Barcelona Turisme (2014). Barcelona tourism press file 2014. 〈http://professional.barcelonaturisme.com/〉; retrieved 15.06.15.
- Catalan Tourist Board (2015). 2015 Press Pack. 〈http://www.act.cat/press-pack〉; retrieved 15.06.15.
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Metadata
- Authors
- Marine-Roig, E., & Anton Clavé, S.
- ORCID
- Marine-Roig, Estela
- Venue
- Journal of Destination Marketing & Management
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 4
- Issue
- 3
- Pages
- 162-172
- ISSN
- 2212-571X (ISSN-L)
- OpenAlex
- W1609508549
- Cited by
- 356
- References
- 42
- Citations by year
- 2026: 28 · 2025: 18 · 2024: 35 · 2023: 34 · 2022: 43 · 2021: 40 · 2020: 42 · 2019: 40 · 2018: 33 · 2017: 24 · 2016: 17 · 2015: 2
- FWCI
- 84.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Destination Marketing & Management (publishedVersion)
- Funders
- Spanish Ministry of Economy and Competitiveness (MOVETUR CSO2014-51785-R)
- Topics
- Social Sciences › Business, Management and Accounting › Tourism, Leisure and Hospitality Management › Diverse Aspects of Tourism Research
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Business, Innovation, and Economy
- Keywords
- tourism analytics, user-generated content, online travel reviews, social media, big data analytics, smart cities, destination image, destination management, business intelligence, destination branding, destination positioning, travel blogs, Barcelona
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