1. A system for creating subgroups of documents using optical character recognition data, the system comprising: one or more processors; and a non-transitory computer readable medium storing a plurality of instructions, which when executed, cause the one or more processors to: create a matrix for words included in documents, wherein each column-row combination in the matrix indicates whether a corresponding word that is associated with the column-row combination is included in a corresponding document that is associated with the column-row combination; identify distances between pairs of the words in the matrix, wherein each distance is based on a number of the documents that differ in including a corresponding pair of the words; create word clusters, wherein each word cluster comprises pairs of words associated with a corresponding distance less than a distance threshold; create sets of word clusters, wherein a set of word clusters comprises word clusters that are not associated with any of the documents associated with other word clusters in the set of word clusters; and create subgroups of the digitized documents based on a set of word clusters corresponding to a high word score relative to at least one other word score corresponding to at least one other set of word clusters.
1. A system for creating subgroups of documents using optical character recognition data, the system comprising: one or more processors; and a non-transitory computer readable medium storing a plurality of instructions, which when executed, cause the one or more processors to: create a matrix for words included in documents, wherein each column-row combination in the matrix indicates whether a corresponding word that is associated with the column-row combination is included in a corresponding document that is associated with the column-row combination; identify distances between pairs of the words in the matrix, wherein each distance is based on a number of the documents that differ in including a corresponding pair of the words; create word clusters, wherein each word cluster comprises pairs of words associated with a corresponding distance less than a distance threshold; create sets of word clusters, wherein a set of word clusters comprises word clusters that are not associated with any of the documents associated with other word clusters in the set of word clusters; and create subgroups of the digitized documents based on a set of word clusters corresponding to a high word score relative to at least one other word score corresponding to at least one other set of word clusters. 6. The system of claim 1 , wherein the highest word score is based on a total number of words in the set of word clusters.