Machine learning spam comment filter
#1
Would TPB be interested in a filter for spam comments, the ones advertising streaming sites?

I am an advanced beginner with machine learning and could design and train a model that identifies such comments specifically for TPB. Then you could reject them automatically.

To train, I would need a corpus of spam comments and legitimate comments, especially ones that closely resemble spam but are not. The training would yield measures for classification errors - non-spam positives and spam negatives. Comment evaluation would yield a class and confidence level. Ambiguous comments could be sent to a moderator or CAPTCHA barrier.

The filter requires Python and PyTorch. Once trained, it could be run on a CPU or GPU (50x faster). I estimate about 10 ms per comment classification.

I would offer this software development for free in order to solve a practical problem and to develop my skills.

Please respond by PM if you are interested.
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#2
This could be a very good feature upgrade for TPB. I've found dozens of torrents in TPB with needless, spam, and advertising type comments.

Regards
FBP Team
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#3
Too bad. Looks like no one's here from TPB.
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#4
They are around... At this point, it would be safe to assume they aren't really interested...
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