Method and system for creating subgroups of documents using optical character recognition data

A computer-implemented method for creating subgroups of documents using optical character recognition data, the method comprising:

• creating 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;
• identifying 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;
• creating word clusters, wherein each word cluster comprises pairs of words associated with a corresponding distance less than a distance threshold;
• creating 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
• creating 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.

A computer program product, comprising computer-readable program code to be executed by one or more processors when retrieved from a non-transitory computer-readable medium, the program code including instructions 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.