Patent Document ID: 8527269
Application ID: 12968194

Base Claim:
1. A computer implemented method for analyzing conversational data, the method comprising: receiving first conversational data that is produced by an entity, the conversational data received from a source that is associated with the entity, the entity comprising a category of persons; identifying a first set of lexical features from the first conversational data, the first set of lexical features comprising groups of one or more words from the first conversational data; reducing, by a computer, the first set of lexical features based on a frequency of lexical features in the first conversational data and also based on overlaps between lexical features in the first set and lexical features in a corpus of language maps, the corpus comprising a plurality of language maps that are associated with different entities; generating a first language map based on the reduced set of lexical features; and storing the first language map into the corpus in association with the entity.

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Claim 2:
2. The method of claim 1 , further comprising receiving second conversational data that is 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; computing confidence scores for a plurality of training language maps in the corpus by comparing the second language map to the corpus; and identifying the entity associated with the language map having the highest confidence score as the entity of the second conversational data.