1. A method to identify topics in a data corpus having a plurality of segments, comprising: determining a segment-level actual usage value for one or more word combinations; computing a segment-level expected usage value for each of the one or more word combinations; and designating a word combination as a topic if the segment-level actual usage value of the word combination is substantially greater than the segment-level expected usage value of the word combination.