1. A method of extracting policy information from text, the method comprising: analyzing, by a first processor, if the text is relevant to a top-level category; if the text is determined to be relevant to the top-level category, determining by the first processor if at least a portion of the text is relevant to a category within a taxonomy of categories related to the top-level category; and if at least a portion of the text is determined to be relevant to the category, extracting from the relevant portion of the text, using a first classifier, policy information associated with the category.