Systems and methods for classifying electronic information using advanced active learning techniques

A method for classifying documents in a document collection as a member of one or more classes or subclasses, the method comprising:

• selecting a document from the document collection;
• calculating at least two predicted classifiers for a particular class of the one or more classes or subclasses, each predicted classifier being calculated using a document information profile for the selected document, a current classifier associated with the particular classes, and a different coding decision selected from a set of possible user coding decisions to be received from a user, thereby resulting in a plurality of predicted classifiers each one corresponding to a different user coding decision having been applied to update the same current classifier, wherein the possible user coding decisions indicate whether the selected document is a member of the particular class;
• determining a processing order for a subset of documents in the document collection that indicates an order in which the documents of the subset are to be scored;
• for each one of the predicted classifiers, calculating a set of scores for one or more documents in the document collection, at least in part, according to the processing order, wherein each score is generated for a document by utilizing the corresponding predicted classifier and a document information profile of the document to be scored;
• and
• in response to receiving a user coding decision, identifying and propagating forward the predicted classifier that corresponds to the received user coding decision as the current classifier and terminating or suspending use of at least one predicted classifier that does not correspond to the received user coding decision.