12. The method of claim 3 , further comprising: receiving second conversational data produced by an unknown entity; identifying a second set of lexical features from the second conversational data; generating a second language map based on the second set of lexical features; comparing the second conversation language map to the corpus of language maps to identify a language map that best matches the second language map; and identifying the entity associated with the language map that best matches the second language map as the entity of the second conversational data.
14. The method of claim 12 , wherein comparing the conversational language map to the corpus comprises: computing confidence scores for a plurality of training language maps in the corpus; and identifying the training language map with the highest confidence score.