https://bugs.documentfoundation.org/show_bug.cgi?id=166253

--- Comment #7 from Greg <[email protected]> ---
I'm sure there are other use cases where the fine detail of expressions will
give great power and flexibility, as described, but a use case that I've had in
business is a document or presentation created by someone who hasn't the first
clue about using styles to drive typographic consistency. I have wasted many
hours, taking those sorts of docs from the hand crafted mess they are, riddled
with inconsistencies to a sound, style based doc.

It seems to me that a tool, based on k-means cluster analysis (using the
attributes in a default or chosen style collection) as a way to look for
closeness of fit for elements that 'should' be an existing style. The user
experience might be:
1. Turn on the tool
2. k-means algorithm runs against clusters represented by each style
3. each word/group of words/sentence/paragraph that has sufficient similarity
to an existing style is highlighted - some sort of progressive disclosure
allows the user to see the deltas from the style. User can adopt that style,
make a variant new style or ignore the suggestion
4. In extremis, the user could 'accept all' suggestions

Ta-daa. Quickly have a consistent, style based doc. Minimal effort.

Did similar with large volumes of security permissions and massively reduced
the workload!

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