Network Analysis in a Neural Learning Internet Agent

In recent years, with the massive increase in the amount of available online information on the Internet, a need has arisen for being able to organize and access that data in a meaningful and directed way. In this paper, special emphasis is placed on neural network approaches in implementing a learning agent for text routing. A brief summary of the various important approaches used is presented. An approach for neural learning internet agents is outlined, one that uses recurrent neural networks for the learning of classifying a textual stream of news information. In particular, we analyze the context of the internal memory and how it is relevant in making classi cation decisions.