Correlating Languages and Sentiment Analysis on the Basis of Text-based Reviews
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Online social media play a significant role in creating electronic word-of-mouth.
“In addition to professional systems, online social media, such as Twitter, Instagram, Facebook, FourSquare, Sina Weibo, and GooglePlus, play a significant role in creating electronic word-of-mouth (e-WOM) (Confente, 2015;Garcia-Pablos et al., 2016;Leung et al., 2013;Phillips et al., 2017).”
From Sentiment Analysis in Tourism: Capitalizing on Big Data (2019) · cites this paper as Garcia-Pablos et al., 2016
Cites
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875 · see citing works
Analysing 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
Flagged first, then by citations
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
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
- Authors
- García-Pablos, A., Duca, A. L., Cuadros, M., Linaza, M. T., & Marchetti, A.
- Affiliations
- Institute of Informatics and Telematics (IT)
- Vicomtech (ES)
- Venue
- Information and Communication Technologies in Tourism 2016
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 565-577
- OpenAlex
- W2428543410
- Cited by
- 14
- References
- 2
- Citations by year
- 2026: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 2 · 2019: 2 · 2017: 5
- FWCI
- 4.08
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- 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 › Sociology and Political Science › Diverse Aspects of Tourism Research
- Keywords
- sentiment analysis, online reviews, destination perception, social media reviews, Foursquare, Google Places, Facebook, tourist destinations
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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