Using Jupyter from KNIME to embed documents

Uses functionality provided in a Jupyter notebook to embed documents from a topic-space representation into 2D Euclidean space. The embedding is done using scikit-learn's implementation of the t-SNE algorithm.

Using Jupyter from KNIME to embed documents

 

Resources

EXAMPLES Server: 07_Scripting/03_Python/04_Using_Jupyter_from_KNIME_to_embed_documents07_Scripting/03_Python/04_Using_Jupyter_from_KNIME_to_embed_documents*
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* Find more about the Examples Server here.
The link will open the workflow directly in KNIME Analytics Platform (requirements: Windows; KNIME Analytics Platform must be installed with the Installer version 3.2.0 or higher). In other cases, please use the link to a zip-archive or open the provided path manually