Peloton to invest $400M to build its first U.S. manufacturing facility in Ohio

Re:Peloton to invest $400M to build its first U.S. manufactu... by dang on Tuesday May 25, 2021 @03:13PM (#27281128)

I'd need to see such a model doing a good-enough job of identifying snarky / angry comments. The worst case of such a solution is that it's almost good enough but not quite—an uncanny valley type thing—in which case it will just piss people off. And anything less good than that would merely add noise.

Edit: of course, since comments are all public data, anyone who wanted to could work on such a model, and if anyone came up with one that was good enough, that would be significant work and I would very much like to know!

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Re:Peloton to invest $400M to build its first U.S. manufactu... by xapata on Tuesday May 25, 2021 @10:43PM (#27285559)

The expensive part is gathering good labels. Who wants to pay someone to tag things as snarky or angry?

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Re:Peloton to invest $400M to build its first U.S. manufactu... by dang on Wednesday May 26, 2021 @02:11PM (#27294027)

We might be willing to pay. It might also be possible to marshal a community effort, if it were organized in the right way. Hmm - there might be something to this idea. The trick would be to set it up so that even if it failed, it would be an interesting failure.

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Re:Peloton to invest $400M to build its first U.S. manufactu... by xapata on Thursday May 27, 2021 @10:32AM (#27303616)

You can get intriguing descriptive statistics (n-gram frequencies, time distributions) from even a relatively small labeling effort, well before you have much predictive value. So, in that sense you'll have something interesting in failure.

If you'd like a hand, please email me. I figure you have access to my hidden email address.

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