KI Averbis – Optional folder selection in the classifier 

A classifier is first created for the automatic classification of patents in corresponding folders. This classifier improves itself at regular intervals through machine learning. To further increase the accuracy of the results, the source folder and the target folder can now be different. In this way, particularly clear and unambiguous patents can be used specifically for training by classifying them exclusively in the source folder.