Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 50_Applications
  • 57_Guided_Labeling
  • 03_Weak_Supervision_for_Document_Classification
WorkflowWorkflow

Weak Supervision for Document Classification

human-in-the-loop guided analytics document classification sentiment analysis movie reviews +6

Last update: 

Drag Workflow
Workflow preview
This workflow defines a fully automated web based application that will label your data using weak supervision. The workflow was designed for business analysts to easily go through documents to be labeled in any number of classes. The user provides euristhics, that is simple labeling functions. Some documents gets labeled, a generative model is applied, and a model can be trained using the a probabilistic input. Gradient Boosted Trees was used after the Weak Label. This workflow is made to be deployed on KNIME WebPortal via KNIME Server.

External resources

  • Weak Supervision: A New Programming Paradigm for Machine Learning - Alex Ratner et al - The Stanford AI Lab Blog
  • Data Source: Kaggle - IMDB Review Dataset
  • Data License: Database Contents License (DbCL) v1.0
  • KNIME WebPortal - knime.com

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Data Generation Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Textprocessing Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Weak Supervision Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

Legal

By downloading the workflow, you agree to our terms and conditions.

License (CC-BY-4.0)
Short link
Discussion
Discussions are currently not available, please try again later.

KNIME
Open for Innovation

KNIME AG
Hardturmstrasse 66
8005 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Server
© 2021 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits