This workflow defines a fully automated web based application that will label your data using active learning. The workflow was designed for business analysts to easily go through documents to be labeled in any number of classes. In each iteration the user labels more documents and the model is trained using the already labeled instances. With every new iteration, the model proposes documents based on a exploration vs exploitation approach. Once the user is happy with the overall potential falling below a certain value, they can exit the loop and export the model to label the remaining instances.
This workflow is made to be deployed on KNIME WebPortal via KNIME Server.
Get this workflow from the following link: Download
02_Active_Learning_for_Document_Classification consists of the following 552 nodes(s):
02_Active_Learning_for_Document_Classification contains nodes provided by the following 12 plugin(s):
Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to email@example.com, follow @NodePit on Twitter, or chat on Gitter!
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.