Relational Modeling in Social Media

摘要

Relational Modeling has been gaining traction towards the support of collective intelligence. Here, we explore the performance of Relational Classification as compared to both supervised and unsupervised Machine Learning methodologies. These techniques are applied to Social Media-based data sources with the goal of understanding consumer behavior. We demonstrate that Relational Modeling can provide comparative performance to Machine Learning methods and demonstrate even higher accuracy when an expanded social network is leveraged towards the learning process.