Predicting e-commerce company success by mining the text of its publicly-accessible website
- Author
- Dirk Thorleuchter (UGent) and Dirk Van den Poel (UGent)
- 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: http://hdl.handle.net/1854/LU-3120712
- 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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