One of the main Visual Analytics characteristics is the tight integration between automatic computation and interactive visualization. This generally corresponds to the availability of complex and powerful algorithms that allow for manipulating the data under analysis, transforming it in order to feed suitable visualizations. As an example, some Visual Analytics tools devoted to text analysis are based on the idea of extracting new data from the text (e.g., computing word frequencies or paragraph lengths) in order to produce visualizations that are based on these new derived pieces of information.