Using Jupyter from KNIME to embed documents

KNIME Hub
#1

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 https://kni.me/w/cD6OEYJXZmkXuEtm
#2

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:
knime://knime.workflow/jupyter_notebooks/tSNE_for_text.ipynb

Thank you for this interesting workflow :slight_smile:

1 Like
#3

Thanks mlauber71, we will add the missing file asap.