A General Framework: Combining Statistical Models and Network Structure for Deep Content Mining

In this paper, we propose a general framework for content mining, which combines statistical model and network structure to leverages the power of both statistical topic models and network method. This method is a novel view to both text oriented method and network oriented method. The proposed framework is general, it can be applied to any text collections with an associated network structure.