@conference { ISI:000373736100045,
	title = {Product Opinion Mining for Competitive Intelligence},
	booktitle = {INTERNATIONAL CONFERENCE ON ADVANCED WIRELESS INFORMATION AND COMMUNICATION TECHNOLOGIES (AWICT 2015)},
	series = {Procedia Computer Science},
	volume = {73},
	year = {2015},
	note = {International Conference on Advanced Wireless Information and Communication Technologies (AWICT), Natl Sch Engineers Sousse, TUNISIA, OCT 05-07, 2015},
	pages = {358-365},
	abstract = {Competitive Intelligence is one of the keys of companies Risk Management. It provides the company with a permanent lighting to its competitive environment. The increasingly frequent use of Information and Communication Technologies (ICT); including (namely) online shopping sites, blogs, social network sites, forums, provides incentives for companies check their advantages over their competitors. This information presents a new source that helps and leads the company to identify, analyze and manage the various risks associated with its business/products. Nowadays, a good use of these data helps the company to improve its products/services. In this paper, an overview of opinion mining for competitive intelligence will be presented. We{\textquoteright}ll try to synthesize the major research done for the different steps of product opinion mining. (C) 2015 The Authors. Published by Elsevier B.V.},
	issn = {1877-0509},
	doi = {10.1016/j.procs.2015.12.004},
	author = {Amarouche, Kamal and Benbrahim, Houda and Kassou, Ismail},
	editor = {Boubiche, DE and Hidoussi, F and Cruz, HT}
}
