Destination image representation on the web: Content analysis of Macau travel related websites
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Tapping into large volumes of subjective e-WOM is of great value to tourism organizations and businesses who seek to improve customer management and business profitability.
“Tapping into these large volumes of subjective e-WOM is of great value to tourism organizations and businesses who seek to improve customer management and business profitability (Choi et al., 2007;Kuttainen et al., 2012;Ye et al., 2009).”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Choi et al., 2007
Sentiment can be modelled by machines for automation, and integration across various applications.
“Besides, sentiment can also be modelled by machines for automation, and integration across various applications (Choi et al., 2007;Rabanser & Ricci, 2005).”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Choi et al., 2007
Cites
Gretzel, U., Yuan, Y.-L., & Fesenmaier, D. R. (2000) · Journal of Travel Research · doi:10.1177/004728750003900204 · Cited by 384 · 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
User generated content: the use of blogs for tourism organisations and tourism consumers
Akehurst, G. (2009) · Service Business · doi:10.1007/s11628-008-0054-2 · Cited by 422 · see citing works
Chung, N., Lee, H., Lee, S. J., & Koo, C. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2015.03.004 · Cited by 232 · see citing works
Past, present, and future scene of influencer marketing in hospitality and tourism management
Polat, E., Çelik, F., Ibrahim, B., & Gursoy, D. (2024) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2024.2317741 · Cited by 73 · see citing works
Tourism, travel and tweets: algorithmic text analysis methodologies in tourism
Claster, W., Pardo, P., Cooper, M., & Tajeddini, K. (2013) · Middle East J. of Management · doi:10.1504/mejm.2013.054071 · Cited by 45 · see citing works
Urrutikoetxea Arrieta, B., Polo Peña, A. I., & Martínez Medina, C. (2019) · Online Information Review · doi:10.1108/oir-02-2016-0049 · Cited by 28 · see citing works
- Authors
- Choi, S., Lehto, X. Y., & Morrison, A. M.
- Affiliations
- Purdue University West Lafayette (US)
- Corresponding author
- Morrison, Alastair M.
- Venue
- Tourism Management
- Publisher
- Elsevier BV
- Published
- 2007-02
- Volume
- 28
- Issue
- 1
- Pages
- 118-129
- ISSN
- 0261-5177 (ISSN-L)
- OpenAlex
- W2077096307
- Cited by
- 754
- References
- 1
- Citations by year
- 2026: 14 · 2025: 32 · 2024: 37 · 2023: 42 · 2022: 55 · 2021: 61 · 2020: 51 · 2019: 41 · 2018: 48 · 2017: 45 · 2016: 56 · 2015: 58 · 2014: 45 · 2013: 35 · 2012: 36
- FWCI
- 44.16
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Tourism Management (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Diverse Aspects of Tourism Research
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Sociology and Political Science › European Cultural and National Identity
- Keywords
- destination image, Macau, online travel websites, tourism marketing, destination image management, travel blogs, official tourism websites, tour operators, communicative purpose
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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