userken.
Semantic map

Every review, on one canvas.

22,814 reviews across nine publications, projected to 2D by UMAP. Each dot is one review.

How to read this map

Every review's 1024-dimensional embedding has been squeezed into 2D by UMAP, a non-linear dimensionality reduction algorithm. Reviews land near each other when the model thinks they're talking about the same thing — so visible clusters are real semantic groups, not arbitrary placements. The distance between two clusters roughly tracks how related the underlying complaints/praise are; the shape of a cluster tells you whether the conversation is tight (one specific gripe) or sprawling (a category of related ones). Color is the star rating: red 1★, amber 2-3★, green 4-5★. Drag to pan, scroll to zoom, hover for the review text.

Loading 22,814 reviews…
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