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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.