Social Business Intelligence - OLAP Applied to User Generated Contents

Matteo Golfarelli

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Paper

Social Business Intelligence - OLAP Applied to User Generated Contents

In Proceedings of the 11th International Conference on e-Business - Volume 0ICETE, 11-19, 2014 , Vienna, Austria

Author: Matteo Golfarelli

Affiliation: University of Bologna, Italy

Keyword(s): OLAP, User-generated Contents, Data Warehousing, Social Media Monitoring, Sentiment Analysis.

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Golfarelli, M. (2014). Social Business Intelligence - OLAP Applied to User Generated Contents. In Proceedings of the 11th International Conference on e-Business (ICETE 2014) - ICE-B; ISBN 978-989-758-043-7, SciTePress, pages 11-19. DOI: 10.5220/0006807200010001

@conference{ice-b14,
author={Matteo Golfarelli.},
title={Social Business Intelligence - OLAP Applied to User Generated Contents},
booktitle={Proceedings of the 11th International Conference on e-Business (ICETE 2014) - ICE-B},
year={2014},
pages={11-19},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006807200010001},
isbn={978-989-758-043-7},
}

TY - CONF

JO - Proceedings of the 11th International Conference on e-Business (ICETE 2014) - ICE-B
TI - Social Business Intelligence - OLAP Applied to User Generated Contents
SN - 978-989-758-043-7
AU - Golfarelli, M.
PY - 2014
SP - 11
EP - 19
DO - 10.5220/0006807200010001
PB - SciTePress