The application and comparison of web services for sentiment analysis in tourism
Abstract
The popularity of social computing and sentiment analysis has attracted an increasing attention of tourism industry and academia. The sentiment analysis of residents' and tourists' plays an important role to the development of tourism. It aims to identify and analyze opinions and emotions contained in reviews which are expressed by residents or tourists. Although it's a challenging task, many companies and research institutes are developing web services to provide public-access and cost-effective solutions to the problem. However, to the best of our knowledge, there are very few studies to apply and compare these web services in tourism. Therefore, in this work we make an initial attempt to explore a set of three web services and compare their sentiment analysis capabilities using the well-known TripAdvisor data collection. Experiment results lead to some interesting conclusions.
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Sentiment analysis in tourism is only beginning to gain in popularity.
“Whilst highly relevant for tourism, sentiment analysis in tourism is only beginning to gain in popularity (Feldman, 2013, Gao et al., 2015, Ribeiro et al., 2016).”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Gao et al., 2015
Cites
The impact of online reviews on hotel booking intentions and perception of trust
Sparks, B. A., & Browning, V. (2011) · Tourism Management · doi:10.1016/j.tourman.2010.12.011 · Cited by 1,688 · see citing works
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Sentiment Analysis in Tourism: Capitalizing on Big Data
Alaei, A. R., Becken, S., & Stantic, B. (2019) · Journal of Travel Research · doi:10.1177/0047287517747753 · Cited by 622 · see citing works
- Authors
- Gao, S., Hao, J., & Fu, Y.
- Affiliations
- Beihang University (CN)
- ORCID
- Shanshan Gao
- Venue
- 2015 12th International Conference on Service Systems and Service Management (ICSSSM)
- Publisher
- IEEE
- Published
- 2015-06
- Pages
- 1-6
- OpenAlex
- W1486855162
- Cited by
- 41
- References
- 1
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 6 · 2021: 10 · 2020: 5 · 2018: 6 · 2017: 4 · 2015: 1
- FWCI
- 2.07
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Service Systems and Service Management (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- sentiment analysis, web services, tourism, TripAdvisor, online reviews, service comparison, tourism industry
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