1. A method for classifying an electronic document in a computer-based system, comprising: determining for each classification instance in a plurality of classification instances a confidence data indicating a degree of confidence that the electronic document is associated with that classification instance; and assigning a classification to the electronic document, without human intervention and based on a first classification instance in the plurality of classification instances, if the confidence data associated with the first classification instance exceeds a first threshold; further comprising determining, based on a human user input, which, if any, classification should be assigned to the electronic document if the classification cannot be assigned to the document without human intervention; wherein the classification cannot be assigned to the document without human intervention if no classification instance in the plurality of classification instances is associated with the confidence data that exceeds the first threshold; and wherein the human user input is obtained including by presenting to a human user a graphical representation of at least two classification instances in the plurality of classification instances if each of at least a prescribed number of classification instance(s) in the plurality of classification instances has the confidence data that exceeds a second threshold that is lower than the first threshold.