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.
This is a companion discussion topic for the original entry at https://kni.me/w/NHvqwB0eFiOMnpoG