Systems and methods for organizing data sets

A computer program product, comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to perform a method comprising:

• generating, using a processor of the computer, a binary decision model by training a binary classifier using a plurality of training documents;
• classifying, using the processor, one or more test documents into one of a plurality of document type categories using the binary decision model, wherein the one or more test documents lack a user-defined category label;
• selecting, using the processor, a most relevant example of the classified test documents from among the classified test documents, wherein the most relevant example of the classified test documents is the test document having a classification score closest to a boundary between a positive decision and a negative decision concerning the test document belonging to a particular one of the plurality of categories;
• displaying, using a display of the computer, the most relevant example of the classified test documents to a user;
• receiving, via the computer and from the user, a confirmation or a negation of a classification label of the most relevant example of the classified test documents;
• and
• storing the confirmation or the negation of the classification label of the most relevant example of the classified test documents to a memory of the computer.

A computer system, comprising a processor and logic integrated with/executable by the processor to cause the system to:

• generate, using the processor, a binary decision model by training a binary classifier using a plurality of training documents;
• classifying, using the processor, one or more test documents into one of a plurality of document type categories using the binary decision model, wherein the one or more test documents lack a user-defined category label;
• selecting, using the processor, a most relevant example of the classified test documents from among the classified test documents, wherein the most relevant example of the classified test documents is the test document having a classification score closest to a boundary between a positive decision and a negative decision concerning the test document belonging to a particular one of the plurality of categories;
• display, using a display of the computer system, the most relevant example of the classified test documents to a user;
• receive, via the computer system and from the user, a confirmation or a negation of a classification label of the most relevant example of the classified test documents;
• and
• store, in the computer system, the confirmation or the negation of the classification label of the most relevant example of the classified test documents to a memory of the computer.