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Predicting e-commerce company success by mining the text of its publicly-accessible website

Dirk Thorleuchter (UGent) and Dirk Van den Poel (UGent)
(2012) EXPERT SYSTEMS WITH APPLICATIONS. 39(17). p.13026-13034
Author
Organization
Keywords
Classification, Website, Text mining, LSI, E-commerce, Success factor, USABILITY, RETRIEVAL, CUSTOMERS, ACCEPTANCE, METRICS, PERFORMANCE, WEB SITES, INFORMATION-SYSTEMS EVALUATION, SATISFACTION, PURCHASING BEHAVIOR

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Citation

Please use this url to cite or link to this publication:

MLA
Thorleuchter, Dirk, and Dirk Van den Poel. “Predicting E-Commerce Company Success by Mining the Text of Its Publicly-Accessible Website.” EXPERT SYSTEMS WITH APPLICATIONS, vol. 39, no. 17, 2012, pp. 13026–34, doi:10.1016/j.eswa.2012.05.096.
APA
Thorleuchter, D., & Van den Poel, D. (2012). Predicting e-commerce company success by mining the text of its publicly-accessible website. EXPERT SYSTEMS WITH APPLICATIONS, 39(17), 13026–13034. https://doi.org/10.1016/j.eswa.2012.05.096
Chicago author-date
Thorleuchter, Dirk, and Dirk Van den Poel. 2012. “Predicting E-Commerce Company Success by Mining the Text of Its Publicly-Accessible Website.” EXPERT SYSTEMS WITH APPLICATIONS 39 (17): 13026–34. https://doi.org/10.1016/j.eswa.2012.05.096.
Chicago author-date (all authors)
Thorleuchter, Dirk, and Dirk Van den Poel. 2012. “Predicting E-Commerce Company Success by Mining the Text of Its Publicly-Accessible Website.” EXPERT SYSTEMS WITH APPLICATIONS 39 (17): 13026–13034. doi:10.1016/j.eswa.2012.05.096.
Vancouver
1.
Thorleuchter D, Van den Poel D. Predicting e-commerce company success by mining the text of its publicly-accessible website. EXPERT SYSTEMS WITH APPLICATIONS. 2012;39(17):13026–34.
IEEE
[1]
D. Thorleuchter and D. Van den Poel, “Predicting e-commerce company success by mining the text of its publicly-accessible website,” EXPERT SYSTEMS WITH APPLICATIONS, vol. 39, no. 17, pp. 13026–13034, 2012.
@article{3120712,
  author       = {{Thorleuchter, Dirk and Van den Poel, Dirk}},
  issn         = {{0957-4174}},
  journal      = {{EXPERT SYSTEMS WITH APPLICATIONS}},
  keywords     = {{Classification,Website,Text mining,LSI,E-commerce,Success factor,USABILITY,RETRIEVAL,CUSTOMERS,ACCEPTANCE,METRICS,PERFORMANCE,WEB SITES,INFORMATION-SYSTEMS EVALUATION,SATISFACTION,PURCHASING BEHAVIOR}},
  language     = {{eng}},
  number       = {{17}},
  pages        = {{13026--13034}},
  title        = {{Predicting e-commerce company success by mining the text of its publicly-accessible website}},
  url          = {{http://doi.org/10.1016/j.eswa.2012.05.096}},
  volume       = {{39}},
  year         = {{2012}},
}

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