1. A computer-implemented system for inclusion-based electronically stored information item cluster visual representation, comprising: a non-transitory computer readable storage medium comprising program code; and a computer processor configured coupled to the storage medium, wherein the processor is configured to execute the program code to perform steps to: maintain a set of reference electronically stored information items; select from the set a subset of the electronically stored information items, each of the reference electronically stored information items in the subset associated with a classification code, each of the classification codes associated with a visual representation different from the visual representations of the remaining classification codes; combine the subset with a set of uncoded electronically stored information items, each of the uncoded electronically stored information items associated with a visual representation different from the visual representations of the classification codes; group the combined electronically stored information items into clusters, further comprising: convert each of the combined electronically stored information items into one or more tokens; generate a score vector for each of the electronically stored information items based on the tokens associated with that electronically stored information item, further comprising: score each of the tokens; generate paired values for each of the combined electronically stored information items comprising paring the token with the score associated with that token; and for each of the combined electronically stored information items, order the paired values along a vector for that combined electronically stored information item to create the score vector for that electronically stored information item, wherein the tokens are ordered along the vector based on a frequency of the tokens within that combined electronically stored information item; and compare the score vector for each of the combined electronically stored information items, wherein the clustering is performed based on the comparison; and visually represent each of the clusters comprising displaying the visual representation associated with the code of each of the reference electronically stored information items in that cluster and the visual representation associated with each of the uncoded electronically stored information item in that cluster.
1. A computer-implemented system for inclusion-based electronically stored information item cluster visual representation, comprising: a non-transitory computer readable storage medium comprising program code; and a computer processor configured coupled to the storage medium, wherein the processor is configured to execute the program code to perform steps to: maintain a set of reference electronically stored information items; select from the set a subset of the electronically stored information items, each of the reference electronically stored information items in the subset associated with a classification code, each of the classification codes associated with a visual representation different from the visual representations of the remaining classification codes; combine the subset with a set of uncoded electronically stored information items, each of the uncoded electronically stored information items associated with a visual representation different from the visual representations of the classification codes; group the combined electronically stored information items into clusters, further comprising: convert each of the combined electronically stored information items into one or more tokens; generate a score vector for each of the electronically stored information items based on the tokens associated with that electronically stored information item, further comprising: score each of the tokens; generate paired values for each of the combined electronically stored information items comprising paring the token with the score associated with that token; and for each of the combined electronically stored information items, order the paired values along a vector for that combined electronically stored information item to create the score vector for that electronically stored information item, wherein the tokens are ordered along the vector based on a frequency of the tokens within that combined electronically stored information item; and compare the score vector for each of the combined electronically stored information items, wherein the clustering is performed based on the comparison; and visually represent each of the clusters comprising displaying the visual representation associated with the code of each of the reference electronically stored information items in that cluster and the visual representation associated with each of the uncoded electronically stored information item in that cluster. 4. The system according to claim 1 , the steps further comprising: determine a number of the reference electronically stored information items selected into the subset based one or more reference factors, the reference factors comprising a size of a review project for which the subset is selected, an average size of the reference electronically stored information items, types of the classification codes, and a number of the reference electronically stored information items associated with each of the classification codes.