This workflow defines a fully automated web based application that will label your data using active learning and weak supervision. 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. Additionally the workflow lets the user defines rules to label instantly a portion of the dataset with a certain condition. These rules provide weak signals for the weak supervision model training. Rules can be updated at any iteration.
This workflow is made to be deployed on KNIME WebPortal via KNIME Server.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:Download Workflow
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.