DocumentCode :
3779776
Title :
Social business intelligence: OLAP applied to user generated contents
Author :
Matteo Golfarelli
Author_Institution :
DISI, University of Bologna, Via Sacchi, 3, Cesena, Italy
fYear :
2014
Abstract :
Social BI is an emerging discipline that aims at applying OLAP analysis to textual user-generated content to let decision-makers analyze their business based on the trends perceived from the environment. Despite the increasing diffusion of SBI applications, only few works in the academic literature addressed the specificities of this applications. In this paper we report some of this distinguishing features and discuss possible solutions.
Publisher :
ieee
Conference_Titel :
e-Business (ICE-B), 2014 11th International Conference on
Type :
conf
Filename :
7509029
Link To Document :
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