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.

This is a companion discussion topic for the original entry at

The Jupyter Notebook seemingly did not make it into the final workflow, but it should be this one:

And also if one would put it into a subfolder in the workflow the relative KNIME path should look something like this:

Thank you for this interesting workflow :slight_smile:

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Thanks mlauber71, we will add the missing file asap.