Then we use an RNN on the spatial relations to predict the spatio-temporal relations of reviewers in the group.
Many studies proposed approaches based on user behaviors and review text to address the challenges of fraud detection.
Social reviews are indispensable resources for modern consumers' decision making.
However, the lack of trusted labeled data has limited the performance of the current solutions in detecting fraud reviews.
In this research, instead of focusing only on one component, detecting either fraud reviews or fraud users (fraudsters), vector representations are learnt for each component, enabling multi-component classification.
In this study, an approach is proposed for normal/abnormal heart sound classification on the Physionet challenge 2016 dataset.
Nowadays, a big part of people rely on available content in social media in their decisions (e. g. reviews and feedback on a topic or product).