1 |
Archak, N., Ghose, A., and Ipeirotis, P. G., "Deriving the pricing power of product features by mining consumer reviews," Management Science, Vol. 57, No. 8, pp. 1485-1509, 2011.
DOI
|
2 |
Baars, H. and Kemper, H.-G., "Management support with structured and unstructured data-an integrated business intelligence framework," Information Systems Management, Vol. 25, No. 2, pp. 132-148, 2008.
DOI
|
3 |
Blumberg, R. and Atre, S., "The problem with unstructured data," DM Review Magazine, 2003.
|
4 |
Buneman, P., "Semistructured data," Proceedings of the sixteenth ACM SIGACTSIGMOD-SIGART symposium on Principles of database systems, ACM, 1997.
|
5 |
Chevalier, J. A. and Mayzlin, D., "The effect of word of mouth on sales: Online book reviews," Journal of marketing research, Vol. 43, No. 3, pp. 345-354, 2006.
DOI
|
6 |
Collins, M., Head-driven statistical models for natural language parsing, Computational linguistics, Vol. 29, No. 4, pp. 589-637, 2003.
DOI
|
7 |
Decker, R. and Trusov, M., "Estimating aggregate consumer preferences from online product reviews," International Journal of Research in Marketing, Vol. 27, No. 4, pp. 293-307, 2010.
DOI
|
8 |
Fayyad, U., Piatetsky-Shapiro, G., and Smyth, P., "From data mining to knowledge discovery in databases," AI magazine, Vol. 17, No. 3, pp. 37-54, 1996.
|
9 |
Holton, C., "Identifying disgruntled employee systems fraud risk through text mining: A simple solution for a multi-billion dollar problem," Decision Support Systems, Vol. 46, No. 4, pp. 853-864, 2009.
DOI
|
10 |
Kangale, A., Kumara, S. K., Naeema, M. A., Williamsb, M., and Tiwaria, M. K., "Mining consumer reviews to generate ratings of different product attributes while producing feature-based review-summary," International Journal of Systems Science, Vol. 47, No. 13, pp. 1-15, 2016.
DOI
|
11 |
Kozinets, R. V., de Valck, K., Wojnicki, A. C., and Wilner, S. J. S., "Networked narratives: Understanding word-of-mouth marketing in online communities," Journal of marketing, Vol. 74, No. 2, pp. 71-89, 2010.
DOI
|
12 |
Lee, J., "How eWOM Reduces Uncertainties in Decision-making Process: Using the Concept of Entropy in Information Theory," The Journal of Society for e-Business, Vol. 16, No. 4, pp. 241-256, 2011.
DOI
|
13 |
Mangold, C., "A survey and classification of semantic search approaches," International Journal of Metadata, Semantics and Ontologies, Vol. 2, No. 1, pp. 23-34, 2007.
DOI
|
14 |
Mayer-Schonberger, V. and Cukier, K., Big data: A revolution that will transform how we live, work, and think., Houghton Mifflin Harcourt, 2013.
|
15 |
McAfee, A. and Brynjolfsson, E., "Big data," The management revolution, Harvard Bus Rev, Vol. 90, No. 10, pp. 61-67, 2012.
|
16 |
Mei, Q. and Zhai, C. X., "Discovering evolutionary theme patterns from text: an exploration of temporal text mining," Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, ACM, 2005.
|
17 |
O'reilly, T., "What is Web 2.0: Design patterns and business models for the next generation of software," Communications and strategies, No. 1, p. 17, 2007.
|
18 |
Tan, A.-H., "Text mining: The state of the art and the challenges," Proceedings of the PAKDD 1999 Workshop on Knowledge Discovery from Advanced Databases, pp. 65-70, 1999.
|
19 |
Washio, T. and H. Motoda., "State of the art of graph-based data mining," Acm Sigkdd Explorations Newsletter, Vol. 5, No. 1, pp. 59-68, 2003.
DOI
|
20 |
Woolley, A. W., Chabris, C. F., Pentland, A., Hashmi, N., and Malone, T. W., "Evidence for a collective intelligence factor in the performance of human groups," science, Vol. 330, No. 6004, pp. 686-688, 2010.
DOI
|