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0 pointsminimaxir2y ago0 comments

Both the viz, and that the 2D UMAP projection is actually enough to get accurately delineated topics.

Hence why I think the typical embedding dimensionality is way way too high.

0 comments

Do you think 1D could work? Maybe topic-space is some sort of tree-shaped structure where documents live in the thin strands.

1D could work on certain datasets but it wouldn't be ideal.

Why not just embed directly to 2d? Does it give worse results than UMAP?

j / k navigate · click thread line to collapse

0 pointsminimaxir2y ago0 comments

Both the viz, and that the 2D UMAP projection is actually enough to get accurately delineated topics.

Hence why I think the typical embedding dimensionality is way way too high.

Do you think 1D could work? Maybe topic-space is some sort of tree-shaped structure where documents live in the thin strands.

1D could work on certain datasets but it wouldn't be ideal.

Why not just embed directly to 2d? Does it give worse results than UMAP?

j / k navigate · click thread line to collapse