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Cited by 636

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Sentiment classification of online reviews to travel destinations by supervised machine learning approaches

Ye, Qiang, Zhang, Ziqiong, Law, Rob·2009·Expert Systems with Applications

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Citations

Cites

Show all 3 references

Research works printed but not linked: 16

  1. Anderson, 1998, Customer satisfaction and word of mouth, Journal of Service Research, 1, 5, 10.1177/109467059800100102 · DOI · Paper page
  2. Beineke, 2004, The sentimental factor: Improving review classification via human-provided information, 263
  3. Chaovalit, 2005, Movie review mining: A comparison between supervised and unsupervised classification approaches, 1
  4. Cheung, C. M. Y., Shek, S. P. W., & Sia, C. L. (2004). Virtual community of consumers: Why people are willing to contribute? In Proceedings of the 8th Pacific-Asia conference on information systems (pp. 2100–2107).
  5. Choi, 2007, Destination image representation on the web: Content analysis of Macau travel related websites, Tourism Management, 28, 118, 10.1016/j.tourman.2006.03.002 · DOI · Paper page
  6. Dellarocas, 2003, The digitization of word of mouth: Promise and challenges of online feedback mechanisms, Management Science, 49, 1407, 10.1287/mnsc.49.10.1407.17308 · DOI · Paper page
  7. Domingos, 1997, On the optimality of the simple bayesian classifier under zero-one loss, Machine Learning, 29, 103, 10.1023/A:1007413511361 · DOI · Paper page
  8. Godes, 2005, The firm’s management of social interactions, Marketing Letters, 16, 415, 10.1007/s11002-005-5902-4 · DOI · Paper page
  9. Goldenberg, 2001, Talk of the network: A complex systems look at the underlying process of word-of-mouth, Marketing Letters, 12, 211, 10.1023/A:1011122126881 · DOI · Paper page
  10. Govers, 2005, Projected destination image online: Website content analysis of pictures and text, Information Technology and Tourism, 7, 73, 10.3727/1098305054517327 · DOI · Paper page
  11. Klein, 1998, Evaluating the potential of interactive media through a new lens: Search versus experience goods, Journal of Business Research, 41, 195, 10.1016/S0148-2963(97)00062-3 · DOI · Paper page
  12. Lo, 2002, Information search behavior of Hong Kong’s in-bound travelers – A comparison of business and leisure travelers, Journal of Travel and Tourism Marketing, 13, 61, 10.1080/10548400209511568 · DOI
  13. Okanohara, 2005, Assigning polarity scores to reviews using machine learning techniques, Lecture Notes in Computer Science (LNAI), 3651, 314, 10.1007/11562214_28 · DOI
  14. Pudliner, 2007, Alternative literature and tourist experience: Travel and tourist weblogs, Journal of Tourism and Cultural Change, 5, 46, 10.2167/jtcc051.0 · DOI
  15. Stokes, 2002, Taking control of word of mouth marketing: The case of an entrepreneurial hotelier, Journal of Small Business and Enterprise Development, 9, 349, 10.1108/14626000210450531 · DOI
  16. Turney, 2003, Measuring praise and criticism: Inference of semantic orientation from association, ACM Transactions on Information Systems, 21, 315, 10.1145/944012.944013 · DOI · Paper page

Cited by

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Metadata

Authors
Ye, Q., Zhang, Z., & Law, R.
Venue
Expert Systems with Applications
Publisher
Elsevier BV
Published
2009-04
Volume
36
Issue
3
Pages
6527-6535
ISSN
0957-4174 (ISSN-L)
OpenAlex
W2168505588
Cited by
636
References
3
FWCI
15.37
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)

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CoChat. (2026). Citation check: Sentiment classification of online reviews to travel destinations by supervised machine learning approaches. https://app.cochat.ai/papers/10.1016/j.eswa.2008.07.035
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Ye, Q., Zhang, Z., & Law, R. (2009). Sentiment classification of online reviews to travel destinations by supervised machine learning approaches. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2008.07.035

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.