Replying to Avatar Thorwegian 🇳🇴

before i decided to let email be someone else's problem, i was using bogofilter on my email. i had been using SpamAssassin before. it had other filters than the Bayesian classifier, but as i discovered, using those other filters made it worse. the classifier was the best part of it. bogofilter was the first Bayesian email spam filter. so i dropped SpamAssassin and just filtered with Bogofilter and a lot of bloat was eliminated. #[5]
Avatar
Katie 2y ago

Yeah! Naive Bayes has a great history in email spam detection (and honestly I love it for a lot of short text string classification in general). I think the approach will be an ensemble approach, one leg of which will definitely be utilizing bayes.

Reply to this note

Please Login to reply.

Discussion

Avatar
Thorwegian 🇳🇴 2y ago

if you're going to have a classifier in there, you might consider to just have the other filters be an input to the classifier. after all, it can be trained to consider certain inputs important.

Avatar
Thomas Rossi 2y ago

as you suggest the classifier could be trained as it goes. What if the filter is also client side, the user can train its own classifier to detect what it doesn’t like

Avatar
Thorwegian 🇳🇴 2y ago

some clients try hard to be intelligent, such as iris.to. but it spins the fan on my laptop too much. maybe a balance should be struck.

Avatar
Thorwegian 🇳🇴 2y ago

one of the reasons that Nostr appeals to me is how the protocol itself is fairly lightweight. some of the clients i come across could stand to be a little lighter too...