Sorry about not explaining correctly. I meant: read the article, give it a spam/ham status (or 1 to 5 start rating or ...). Then on the next article(s) (in the near future) based on the words in the already classified article's words (which can be links to specific domains too (e.g. subscribed to some link aggregator, but it sometimes sends spams)) the unread article should be classified as probably ham/spam. And I don't want to see spam below a threshold... In short: Bayesian like learning...
And yeah I can use something like rss2mail and a MUA with spam filter... But I'd prefer a dedicated application (which lives on the desktop but syncs with the cloud, and multiplatform).
Comments
Sorry about not explaining correctly. I meant: read the article, give it a spam/ham status (or 1 to 5 start rating or ...). Then on the next article(s) (in the near future) based on the words in the already classified article's words (which can be links to specific domains too (e.g. subscribed to some link aggregator, but it sometimes sends spams)) the unread article should be classified as probably ham/spam. And I don't want to see spam below a threshold... In short: Bayesian like learning...
And yeah I can use something like rss2mail and a MUA with spam filter... But I'd prefer a dedicated application (which lives on the desktop but syncs with the cloud, and multiplatform).
Is that too much? ;-)