1. A method of classification using a classifier that reads in input items and outputs indications of one or more classification for the input items, wherein an input item is classified by associating the input item with one or more classes from a set of classes in a data classification system, said method comprising the steps of: receiving, by the classifier, the input item to be classified; identifying, by the classifier, relevant features in the input item to form a feature vector for the input item; receiving an indication from a user of a first entity's point-of-view at the classifier, wherein the first point-of-view is selected from a plurality of points-of-view, each of the plurality of points-of-view defining a frame of reference for automated use by the classifier in outputting the indications of the one or more classification for the input items, wherein the user and the first entity are different; adjusting, by the classifier, the feature vector or modifying a pattern discriminator according to the first point-of-view indication; classifying, by the classifier, the input item into a first class according to the first point-of-view; receiving an indication from the user of a second entity's point-of-view at the classifier, wherein the second point-of-view is selected from the plurality of points-of-view and defines a different frame of reference from that of the first point-of-view, wherein the user and the second entity are different; adjusting, by the classifier, the feature vector or modifying a pattern discriminator according to the second point-of-view indication; and classifying, by the classifier, the input item into a second class according to the second point-of-view.