17. The non-transitory, computer-readable medium of claim 14 , wherein the user responses are spoken utterances and, prior to the selecting step, transcriptions are obtained for the utterances.
14. A non-transitory, computer-readable medium comprising a computer program that, when executed by a computer system, enables the computer system to perform a method for enabling a developer of a steering application to associate semantic tags with user responses, the method comprising: obtaining user responses to an open-ended steering question posed by an interactive response system; selecting a subset of user responses; automatically grouping the user responses within the subset into groups, wherein each group is a set of sentences that are semantically related; automatically assigning preliminary semantic tags to each of the groups; providing a user interface that enables a user to validate the content of the groups to ensure that all sentences within a group have the same semantic meaning and to view and edit the preliminary semantic tags associated with the groups, wherein the interface includes: a groups view that displays a list of the groups and corresponding semantic tags for each group, wherein the groups view enables a user to edit the preliminary semantic tags associated with each of the groups, a sentence view that displays, for a selected group in the groups view, a list of unique sentences associated with the selected group, wherein in the sentence view a user is able to verify whether or not a sentence belongs to the group selected in the groups view, and a related-groups view that displays, for a selected group in the groups view or a selected sentence in the sentence view, a plurality of groups most closely-related to the selected group or sentence; and iteratively repeating the selecting, grouping, assigning, and providing steps with different subsets of user responses until all user responses have been processed, wherein each iteration uses data from previously validated and tagged groups to increase the accuracy of the clustering and assigning steps.