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Sep 02 '22 19:09 diedburn

Thank you for your time to test everything, I really appreciate it.

There certainly is a fair share of false positives. I think we can fix it by updating the dataset, at the moment there is only 200 odd examples of sponsorship (and the rest is just garbage copied from the excess and clipped at a certain amount of words).

I think refining and adding to the training dataset should fix this, although I would love to hear your thoughts.

Jan 14 '19 16:01 micah5

I think refining and adding to the training dataset should fix this

@98mprice I concur. When/if I loop back to this I could possibly help refine data.csv and/or think up some programmatic before/after verification tests so we can see if the detection is getting better or worse.

Full disclosure: I've only toyed with tensorflow for less than 30 minutes so I'll probably need some time to get up to speed. This seems like a great project to learn :)

Jan 14 '19 18:01 aallbrig

Awesome! That sounds like a plan.

Also, the project uses Keras (on top of tensorflow) so hopefully that'll make it easier to jump in.

Jan 15 '19 06:01 micah5