Review and tag a small portion of the data set to simultaneously build models for each tag and then apply the models to order data from most to least relevant in real time.

Significantly reduce the number of reviewers needed to classify your document set and save time and money.

Add text classification based on Continuous Active Learning to your application.

Save models for use in subsequent classification.