System and method for computerized predictive performance analysis of natural language

A method of assessment of an human, comprising:

• determining at least a semantic content of a plurality of human communications involving a human;
• statistically processing, with at least one automated processor, the semantic content of the plurality of human communications, to psychometrically classify the human communications with respect to a population;
• and
• generating at least one output selectively dependent on the statistical processing.

A system for characterizing an interviewee, comprising:

• an input configured to receive an interviewee response to a performance-related behavioral prompt through an automated interviewee answer capture system;
• at least one automated processor configured to automatically score information corresponding to the received interviewee response, based on at least latent semantic indexing of a text string, to statistically index a similarity of the received interviewee response to characterizations of a plurality of example sets from other interviewees to the performance-related behavioral prompt;
• and
• at least one memory configured to store information characterizing the interviewee response with respect to the performance-related behavioral prompt based on the scoring.