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The idea is to use dimensionality reduction to put your dataset on a 2D interface, render it interactively with Bokeh, and add Python callbacks to enable all kinds of tricks.
The demo above showcases a simple active learning process where you can annotate a number of texts at a time first, then narrow down to finer scales wherever your model gets confused.
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Comments, requests, and criticism (or storm, earth, and fire?), heed my call!
There should be a gif in the post. Let me know if it renders for you!
Just updated the cover image.
Update 0.3.2 is available. Come check it out!
Binder examples available!