A credibility and classification-based approach for opinion analysis in social networks

© 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