Abstract by Stephen Cowley
Semi-Supervised Learning with Meta-Data Map
User labelling of a small number of documents allows for classification of a much larger corpus of documents. A meta-data map of documents is built to allow for user interaction and reactive updates to classifier. As documents are labelled, algorithm learns classification of future documents.