Updated workflow with 4.1 nodes available. Check references below.
This old legacy 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 the most uncertain documents using the entropy scorer node. Once the user is happy with the performance achieved with the available labels, 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
00_Guided_Labeling_for_Document_Classification_(legacy) consists of the following 580 nodes(s):
00_Guided_Labeling_for_Document_Classification_(legacy) contains nodes provided by the following 13 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 firstname.lastname@example.org, 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.