Patent ID: 6826576
Filing Date: 2004-11-30
Classification: G06F,Y10S

Abstract:
A method of training a classifier system by utilizing previously classified data objects comprising one or more electronic documents including at least one of a text document, an image file, an audio sequence, a video sequence, and a hybrid document including a combination of text and images, said previously classified data objects being organized into a subject hierarchy of a plurality of nodes, the method comprising:selecting one node of the plurality of nodes; aggregating those of the previously classified data objects corresponding to the selected node and any associated sub-nodes of the selected node, to form a content class of data objects, said content class of data objects comprising a content class of the one or more electronic documents; aggregating those of the previously classified data objects corresponding to any associated sibling nodes of the selected node and any associated sub-nodes of the sibling nodes to form an anti-content class of data objects, said anti-content class of data objects comprising an anti-content class of the one or more electronic documents; and extracting features from at least one of the content class of data objects and the anti-content class of data objects to facilitate characterization of said previously classified data objects.