Topic modeling

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.

External resources

• https://www.knime.com/blog/XXXX