Classification of Customer Reviews based on Sentiment Analysis
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Other dictionary-based analysis focused on hotel and restaurant customer reviews.
“Other dictionary-based analysis focused on hotel and restaurant customer reviews (Bucur, 2015;Gräbner et al., 2012;Marrese-Taylora et al., 2013;Schmunk et al., 2014).”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Gräbner et al., 2012
The dictionary used in Gräbner et al.'s (2012) study was a hotel domain specific lexicon of semantically relevant words.
“The dictionary used in Gräbner et al.'s (2012) study was a hotel domain specific lexicon of semantically relevant words.”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Gräbner et al., 2012
A few studies used multiclass classifiers in a single step, relying on a 3-class classifier.
“Furthermore, a few studies followed an approach that involved determining polarity of sentences by using multiclass classifiers in a single step; that is they relied on a 3-class classifier (e.g., Ganu et al., 2009;Gräbner et al., 2012;Brob, 2013).”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Gräbner et al., 2012
Cited by
Sorted by citations
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
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-citationShoumy, N. J., Ang, L.-M., Seng, K. P., Rahaman, D. M. M., & Zia, T. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.102447 · Cited by 171 · see citing works
Predicting happiness: user interactions and sentiment analysis in an online travel forum
Neidhardt, J., Rümmele, N., & Werthner, H. (2017) · Information Technology & Tourism · doi:10.1007/s40558-017-0079-2 · Cited by 61 · see citing works
Multi-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-citation
- Authors
- Gräbner, D., Zanker, M., Fliedl, G., & Fuchs, M.
- Affiliations
- University of Klagenfurt (AT)
- Mid Sweden University (SE)
- Venue
- Information and Communication Technologies in Tourism 2012
- Publisher
- Springer Vienna
- Published
- 2012
- Pages
- 460-470
- OpenAlex
- W1608357024
- Cited by
- 136
- References
- 0
- Citations by year
- 2026: 2 · 2025: 4 · 2024: 8 · 2023: 12 · 2022: 12 · 2021: 15 · 2020: 15 · 2019: 11 · 2018: 10 · 2017: 9 · 2016: 7 · 2015: 11 · 2014: 8 · 2013: 6 · 2012: 6
- FWCI
- 17.54
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Open Research (University of Surrey) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Keywords
- customer reviews, hotel reviews, sentiment analysis, review classification, domain-specific terminology, lexicon construction, text classification
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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