Abstract
With advancements made to the Internet, a considerable increase in the number and types of products available online has come. Yet, the large amount of online consumer reviews may present an obstacle to potential buyers. This study proposes a four-dimensional book evaluation system for use by leading online booksellers, thereby enabling potential buyers to form decisions based on differentiated criteria. This book evaluation system was empirically examined by employing a text mining approach and multivariate regression model. The findings here-in may aid in improving the understanding of the construction of online product evaluation systems.
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Dong, T., Hamalainen, M., Lin, Z., Luo, B. (2012). Exploration of a Multi-dimensional Evaluation of Books Based on Online Reviews: A Text Mining Approach. In: Shaw, M.J., Zhang, D., Yue, W.T. (eds) E-Life: Web-Enabled Convergence of Commerce, Work, and Social Life. WEB 2011. Lecture Notes in Business Information Processing, vol 108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29873-8_12
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DOI: https://doi.org/10.1007/978-3-642-29873-8_12
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