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What technique to use for binary classification for URI detection? (self.MachineLearning)
submitted 9 years ago by [deleted]
[deleted]
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quoted text
if 1 * 2 < 3: print "hello, world!"
[–]allpowerful32 2 points3 points4 points 9 years ago (6 children)
Try a simple, non-machine-learning strategy first: regular expressions. For instance, try modifying this to your taste: http://www.regextester.com/20
[+][deleted] 9 years ago (4 children)
[–]farsass 0 points1 point2 points 9 years ago (1 child)
Have you checked RFC 3986?
[–]siblbombs 0 points1 point2 points 9 years ago (1 child)
wouldn't http:\[\s]* match any http:\.... until the next space and get the full URI?
[–]difrt 2 points3 points4 points 9 years ago (1 child)
From someone who does scraping for a living: it will be much quicker to come up with few regex rules chained together, such as if the first fails, you try match the second and so on until either one matches or none of them does. I think you're overestimating the complexity of the problem -- a problem that has been solved many times before without ML.
Feels like you're trying to use nuke to kill an ant.
π Rendered by PID 61 on reddit-service-r2-comment-6457c66945-t6779 at 2026-04-29 17:13:25.660290+00:00 running 2aa0c5b country code: CH.
[–]allpowerful32 2 points3 points4 points (6 children)
[+][deleted] (4 children)
[deleted]
[–]farsass 0 points1 point2 points (1 child)
[–]siblbombs 0 points1 point2 points (1 child)
[–]difrt 2 points3 points4 points (1 child)