3. A method according to claim 1 , wherein the comparison between the one or more of the uncoded concepts and the coded reference concepts comprise at least one of: determining a center of the at least one cluster based on the one or more uncoded concepts and comparing the cluster center with the coded reference concepts; selecting a sample comprising the one or more uncoded concepts and comparing the sample with the coded reference concepts, wherein the sample can be selected via at least one of manually and automatically; and comparing the cluster center and the sample for the at least one cluster with the coded reference concepts.
1. A method for displaying relationships between concepts to provide classification suggestions via injection, comprising the steps of: designating reference concepts each associated with one of a plurality of classification codes, wherein each concept comprises nouns and noun phrases with common semantic meaning that are extracted from a set of documents; designating clusters of uncoded concepts; comparing one or more of the uncoded concepts from at least one cluster of the uncoded concepts to the coded reference concepts; identifying at least one of the coded reference concepts that is similar to the one or more uncoded concepts in the at least one cluster; injecting the similar coded reference concepts into the at least one cluster of the uncoded concepts; displaying each of the uncoded concepts and the coded reference concepts in the at least one cluster via a representation; providing a classification suggestion for one or more of the uncoded concepts based on a presence of one or more different classification codes of the coded reference concepts and an absence of one or more of the different classification codes of the coded reference concepts; receiving from a human reviewer a classification code for at least one of the uncoded concepts associated with the classification suggestion, wherein the received classification code is one of the same as or different than the classification suggestion, wherein the steps are performed by a suitably programmed computer.