1. A method for automated learning of terminology from an input set of documents, the method comprising the steps of: storing a classification system comprising a plurality of categories of terminology arranged to reflect associations among related categories; processing the input set of documents to classify each of the documents into a category of the classification system, wherein the documents classified contain a term for learning; generating contextual data for the term for learning by mapping the categories selected to the classification system so as reflect associations among the categories selected; analyzing the contextual data, including analyzing all of the categories selected in the classification system for the term, prior to selecting a single category for the term; and selecting a single category, based on the associations of the categories in the classification system, for the term to learn the term as the single category.