Feature-based Facebook reviews process model for e-management using data mining

Author:

Varudharajulu Anish Kumar1,Ma Yongsheng1

Affiliation:

1. University of Alberta, Edmonton, AB, Canada

Funder

NSERC Discovery grant

MITACS Accelerate grant

Publisher

ACM Press

Reference13 articles.

1. OA Abbas. 2008. Comparisons Between Data Clustering Algorithms. Int. Arab J. Inf. Technol. 5, 3: 320--325. Retrieved from http://www.ccis2k.org/iajit/PDF/vol.5,no.3/15-191.pdf

2. T. Bhuvaneswari, S. Prabaharan, and V. Subramaniyaswamy. 2015. An effective prediction analysis using J48. ARPN Journal of Engineering and Applied Sciences 10, 8: 3474--3480.

3. Remco R Bouckaert, Eibe Frank, Mark Hall, Richard Kirkby, Peter Reutemann, Alex Seewald, and David Scuse. 2010. WEKA Manual for Version 3-6-5. University of Waikato: 327. Retrieved from http://ufpr.dl.sourceforge.net/project/weka/documentation/3.6.x/WekaManual-3-6-5.pdf

4. Lipika Dey and Sk Mirajul Haque. 2009. Opinion mining from noisy text data. International Journal on Document Analysis and Recognition 12, 3: 205--226.

5. Liran Einav and Jonathan Levin. 2014. Economics in the age of big data. Science 346, 6210.

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