Many perceptions of it are error--and the more professionally invested the perceiver, the more likely the error.
And corrections beyond "do your best to be kind to people and understand who they are" are likely snake oil.
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There is deep pattern structure in language; that's what it's for. Big Data can elicit that structure; that's what *it's* for.
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The front end of Big Data is arithmetic. You can't argue with arithmetic. Back end is interpretation, and that's mostly crap.
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"man : computer programmer :: woman : homemaker" tells you *something* important, but it ain't necessarily Sin.
End of conversation
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. Banned in Sweden. SubGenius, Zhuangist, white-hat troll. Defrocked mathematician. Brain problems.