A credibility and classification-based approach for opinion analysis in social networks
Source of Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
© Springer International Publishing Switzerland 2016. There is an ongoing interest in examining users’ experiences made available through social media. Unfortunately these experiences like reviews on products and/or services are sometimes conflicting and thus, do not help develop a concise opinion on these products and/or services. This paper presents a multi-stage approach that extracts and consolidates reviews after addressing specific issues such as user multiidentity and user limited credibility. A system along with a set of experiments demonstrate the feasibility of the approach.
Azaza, Lobna; Ennaji, Fatima Zohra; Maamar, Zakaria; El Fazziki, Abdelaziz; Savonnet, Marinette; Sadgal, Mohamed; Leclercq, Eric; Amarouche, Idir Amine; and Benslimane, Djamal, "A credibility and classification-based approach for opinion analysis in social networks" (2016). Scopus Indexed Articles. 1640.