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02_​embedding_​documents_​with_​jupyter

Execute the workflow and open the interactive configuration to see the result of t-SNE, whose code is read from a Jupyter notebook stored in the workflow data.Requirements:- KNIME >= v3.7- A python installation that includes scikit-learn- The KNIME Python extensions, properly configured to use that python install Coloring by queriesCreate a visaulizationof the resultsSort so that weget consistent colorsRead document-topic mapRead topic-term mapPicks a subsetof the queriesfor faster calculation Python Script (1⇒1) Create CollectionColumn Color Manager Joiner Embedded documents Sorter Table Reader Table Reader Reduce dataset Execute the workflow and open the interactive configuration to see the result of t-SNE, whose code is read from a Jupyter notebook stored in the workflow data.Requirements:- KNIME >= v3.7- A python installation that includes scikit-learn- The KNIME Python extensions, properly configured to use that python install Coloring by queriesCreate a visaulizationof the resultsSort so that weget consistent colorsRead document-topic mapRead topic-term mapPicks a subsetof the queriesfor faster calculationPython Script (1⇒1) Create CollectionColumn Color Manager Joiner Embedded documents Sorter Table Reader Table Reader Reduce dataset

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: knime
Created at: 2018-12-06
On NodePit since: 2019-07-12
Last update: 2024-04-18
Created with KNIME version: v4.1.0

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