1. A method comprising: extracting, by a processor, candidate phrases from a content stream; calculating, by the processor, an importance value of the extracted candidate phrases based on frequency of the extracted phrases in the content stream; thresholding, by the processor, the extracted candidate phases based on the calculated importance value; calculating, by the processor, an average sentiment value for the thresholded candidate phrases using term-association; assigning, by the processor, a visual cue to the thresholded candidate phrases using the calculated average sentiment value to determine at least one property of the visual cue; and graphically displaying, by the processor, the visual cue representative of the thresholded candidate phrases in statistical clusters.
2. The method of claim 1 , wherein calculating an importance value of the extracted candidate phrases comprises determining the temporal proximity of the extracted candidate phrases to an event or predetermined period.