Been doing all sorts of crazy things with the main texts I’ll be using in my SOCI/ANTH 441 Material Culture course.
(Not sure how well these things will appear.)
One of those things is text-/wordmining. Not only looking at cited references (who cites whom, what texts could be complementary), but also looking concordance and such (how frequently certain words appear in those texts).
Here’s an example:

(This collocate cluster tool in action here.)
Also, using all sorts of terms related to material culture, specifically:


Even just the “distinctive terms” of each text are interesting:
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(That corpus is found here.)
And, obviously, the obligatory word cloud…
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See this wordcloud in action here.
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