1. A method for identifying mood in content, comprising: generating a static visual representation of the content based on frequency data sampled from the content; filtering the static visual representation to capture intensity differences represented in the static visual representation and generating a filtered representation of the content; encoding the filtered representation to create a digitized representation of the content; identifying characteristics within the digitized representation that correspond to a first set of one or more moods among a set of moods; and generating a three-dimensional shape that corresponds to the first set of one or more moods.
21. The method for identifying mood in content as recited in claim 1 , wherein the static visual representation is one or more of a spectrogram, a chromagram or an audio fingerprint.