Using Jupyter: Embedding 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.
Workflow
Topic modeling
External resources
Used extensions & nodes
Created with KNIME Analytics Platform version 4.0.1
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KNIME AG, Zurich, Switzerland
Version 4.0.1
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KNIME AG, Zurich, Switzerland
Version 4.0.1
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KNIME AG, Zurich, Switzerland
Version 4.0.0
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KNIME AG, Zurich, Switzerland
Version 4.0.0
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