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I am comparing the difference in mean topic proportion (theta / document-topic-probability) of two groups. How can I interpret whether the differences are small or large, as topic proportions depend on the number of topics k?

For example:

Topic 1: group difference = 1.01 % Topic 2: group difference = 0.79 % Topic 3: group difference = 0.10 %

The LDA-based model comprised k = 100 topics. So the average topic proportion is 1/k = 1 %, which seems to be a necessary starting point for interpretation.

Based on that, can any meaningful cut-off be made to differentiate between small and large difference?

Any ideas are appreciated.

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