Hub
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
Sign in
  • KNIME Hub
  • knime
  • Spaces
  • Examples
  • 07_Scripting
  • 03_Python
  • 04_Using_Jupyter_from_KNIME_to_embed_documents
WorkflowWorkflow

Using Jupyter from KNIME to embed documents

Jupyter Python visualization exploration topic modeling +3

Last edited: 

Drag Workflow
Workflow preview
This workflow demonstrates the use of functionality defined in a Jupyter notebook from inside of KNIME. After building a topic model for a set of documents, we use a Python function from a Jupyter notebook to perform t-SNE embedding of the documents into a 2D space. As a final step we do an interactive visualization to allow exploring the results. The execution of this workflow requires the Textprocessing and the KNIME Python Scripting extensions. The executing Python environment must be provided with scikit-learn and jupyter installations.

External resources

  • t-SNE Wikipedia
  • KNIME Python Integration Installation Guide
  • Fun With Tags
  • KNIME and Jupyter

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 JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME Textprocessing 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)
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