Journal of Information Technology & Software Engineering
Open Access

Abstract

Identification of Opinions in Arabic Texts Using Ontologies

Farek Lazhar and Tlili Guiassa Yamina

A powerful tool to track opinions in forums, blogs, e-business sites, etc., has become essential for companies, politicians as well as for customers, and that because of the huge amount of texts available which make the manual exploration more and more difficult and useless. In this paper, we present our approach of identification of opinions based on an ontological exploration of texts. This approach aims to study the role of domain ontologies and their contributions in the identification phase. In our approach, domain ontology and sentiments lexicon are needed as pre-requirements.