When Naive is not Enough: Bringing Naive BayesText Categorization to "Surface"

Solutions for content organization, access and interaction are required in order to let users express their information needs. Automatic categorization systems may be used to build classification schemes in order to browse, explore, and retrieve resources from collections of digital objects. In this work, the two-dimensional representation of documents \cite{dinunzio06tcdl} is applied to the classical \ac{NB} models for text classification. This graphical representation allows for gaining important insights about how to interpret results and improve the performance of textual classifiers.