3 ms·
Anyhow, wishing you the best of luck with it. And again, I'm not an expert in any sense of the word. The above is just my honest reaction as I checked it out.
by mootothemax 16y ago
Anyhow, wishing you the best of luck with it. And again, I'm not an expert in any sense of the word. The above is just my honest reaction as I checked it out.
Hehe, it's fair and honest opinion so fair enough really :)
Regarding spammers, honestly you'd be surprised about the spread of customers that use TweetingMachine legitimately. This year though - I guess a sign of success - I've had quite a few problems with proper spammers on the system (and I have motivation to not support spammers - e.g. Twitter could turn off access otherwise), and have recently written quite a few automated systems to try and detect the buggers before they ruin it for everyone.
- treo 16y agoThen you might want to read the following links: http://www.paulgraham.com/spam.html http://www.paulgraham.com/spam.html http://www.paulgraham.com/better.html http://www.paulgraham.com/better.html They describe how bayesian filtering works and how to use it to detect spam automatically.
- ericd 16y agoCheck out CRM114 Discriminator (http://crm114.sourceforge.net/ http://crm114.sourceforge.net/ ), it's an amazing machine learning package tuned to filtering email. It can do good filtering right out of the box (with a little config and training).