Patent Document ID: 9064008
Application ID: 13970545

Base Claim:
1. A computer-implemented system for displaying visual classification suggestions for concepts, comprising: a processor to execute modules, comprising: a clustering module to provide at least one cluster comprising one or more uncoded concepts, each associated with a visual representation comprising a geometric shape, and one or more reference concepts, each associated with a visual representation of an assigned classification code; a neighborhood module to determine for at least one of the uncoded concepts a neighborhood comprising at least one of the reference concepts; a classification module to determine a classification code for the neighborhood based on the at least one of the reference concepts; a suggestion module to suggest the classification code of the neighborhood as a classification code for the uncoded concept, comprising a display module to display the visual representation of the suggested classification code placed on a portion of the geometric shape associated with the uncoded concept; a confidence module to determine a confidence level for the suggested classification code; a difference module to receive from a user a classification code different from the suggested classification code and associated with a visual representation; a comparison module to compare the confidence level to a threshold; and a discordance module to display a discordance between the suggested classification code and the received classification code when the confidence level exceeds the threshold, comprising a discordance display module to display the visual representation of the received classification code on a different portion of the geometric shape.

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Claim 8:
8. The system according to claim 1 , further comprising: a conversion module to convert a document into one or more of the uncoded concepts; an identification module to identify all of the classified uncoded concepts associated with the document upon classification of multiple uncoded concepts; and a document classification module to determine a classification code of the document based on the classification codes of all of the associated classified uncoded concepts.