16. The system of claim 1 , wherein the document information profile of the document to be scored is generated from at least a portion of the contents of that particular document and related metadata.
1. An active learning system for classifying documents in a document collection as a member of a plurality of classes, the system comprising: a processor being adapted to: select a document from the document collection for which a user coding decision is to be received; calculate at least two predicted classifiers, each predicted classifier being calculated by incrementally updating a current classifier using a document information profile for the selected document and a different coding decision selected from a set of possible user coding decisions; determine 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, calculate 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; in response to receiving a user coding decision for the selected document, select a set of scores from the calculated sets of scores based on the predicted classifier that corresponds to the received user coding decision; classify a set of documents in the document collection using the selected scores or user coding decisions; and select a further document from the document collection using the selected scores and repeat the steps of calculating predicted classifiers, determining a processing order, and calculating a set of scores.