Sensing the Online Social Sphere Using a Sentiment Analytical Approach
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For topic detection, SVM, Naïve Bayes, k-nearest neighbour, terminology and dictionary-based approaches, frequent words, latent-semantic indexing, sequential pattern mining, and cluster analysis were applied in the tourism context.
“In addition, for topic detection, SVM, Naïve Bayes, and k-nearest neighbour methods (as supervised machine learning approach) terminology and dictionary-based approach as well as frequent words, latent-semantic indexing, sequential pattern mining, and cluster analysis (as unsupervised techniques) were applied in the tourism context (Brob, 2013;Markopoulos et al., 2015;Höpken et al. 2016;Schmunk et”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Höpken et al. 2016
Cites
What can big data and text analytics tell us about hotel guest experience and satisfaction?
Xiang, Z., Schwartz, Z., Gerdes, J. H., & Uysal, M. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2014.10.013 · Cited by 953 · see citing works
Big data analytics for knowledge generation in tourism destinations – A case from Sweden
Fuchs, M., Höpken, W., & Lexhagen, M. (2014) · Journal of Destination Marketing & Management · doi:10.1016/j.jdmm.2014.08.002 · Cited by 308 · see citing works
Self-citationMulti-Dimensional Data Modelling for a Tourism Destination Data Warehouse
Höpken, W., Fuchs, M., Höll, G., Keil, D., & Lexhagen, M. (2013) · Information and Communication Technologies in Tourism 2013 · doi:10.1007/978-3-642-36309-2_14 · Cited by 24 · see citing works
Self-citationAnalysing User Reviews in Tourism with Topic Models
Rossetti, M., Stella, F., Cao, L., & Zanker, M. (2015) · Information and Communication Technologies in Tourism 2015 · doi:10.1007/978-3-319-14343-9_4 · Cited by 13 · 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
- Höpken, W., Fuchs, M., Menner, T., & Lexhagen, M.
- Affiliations
- University of Applied Sciences Ravensburg-Weingarten (DE)
- Mid Sweden University (SE)
- Corresponding author
- Höpken, Wolfram
- Venue
- Tourism on the Verge
- Publisher
- Springer International Publishing
- Published
- 2016-10-13
- Pages
- 129-146
- ISSN
- 2366-2611 (ISSN-L)
- 2366-262X
- OpenAlex
- W2531085450
- Cited by
- 20
- References
- 4
- Citations by year
- 2026: 2 · 2024: 3 · 2022: 5 · 2021: 1 · 2020: 4 · 2019: 1 · 2018: 4
- FWCI
- 2.91
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Tourism on the verge (publishedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Keywords
- sentiment analysis, user-generated content, customer feedback, topic extraction, naive Bayes, support vector machine, k-nearest neighbors, clustering, singular value decomposition, social media
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