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Abstract

Discloses a system for the automatic classification of electronic documents that are candidates to become an official record. A training data set of documents, each document having a pre-assigned records classification instance, is processed by a classification agent operating in training mode to establish a probabilistic relationship between each classification instance and the contents of a document. The training data set includes at least several documents per classification instance. A trained classification agent operating in evaluation or classification mode receives a candidate document and produces a result. A decision control table contains user specified contiguous result ranges to select one document processing action from a list of document processing actions based on the result produced by the trained classification agent. The list of document processing actions includes further automatic document processing to assign a classification or providing user input capability to enable human intervention and control to classify the candidate document and result in the candidate document being combined with appropriate metadata, and a file plan classification to become an official record.

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