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How To Gets Rid of Spam
Here are some of free software you can use to gets rid of spam before it arrives in your inbox:
- SpamWeasel acts as a local POP server that filters spam according to both objective and personal criteria. It can delete or archive it while placing an optional warning notice on any suspected spam mail it allows through to your mailbox. When suspect spam mail is marked for rejection, you can delete it directly at the ISP even before it reaches your mailbox. Alternatively, Archive Viewing allows you to collect and divert unwanted mail away from your active mailbox and action or delete it at leisure. The program arrives preconfigured for many common spammers and uses flexible rules to identify spam while permitting a range of user-defined actions including passing, blocking, labeling, deleting, archiving, viewing sorting and re-delivery and works with any client.
- MailWasher notify you when new mail arrives and automatically mark suspicious messages, so you can preview and delete them. There are 3 levels of spam detection, and you can specify your own filters. MailWasher also offers the option to exclude your friends from spam checking and verify email addresses against DNS blacklist servers.
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- Spam-Aid comes with an additional option that allows you to include a hint for the code word, and send an automatic reply to the sender, informing him that the message has been deleted. The sender can the resend the message, if he can supply the proper code word. An example for a hint/code word could be something that a friend or relative would know, but not a stranger (e.g put my nickname in the subject line).
- SpamBayes uses an advanced, bayesian filtering method that requires no manual setup and gets smarter the more email it processes. It includes a training wizard that can be used to feed it some spam messages, otherwise it will learn from your incoming email as you go. It it misses (or incorrect classified), you can just click the toolbar button and make the message `spam` or `good`, and SpamBayes will automatically learn from it, avoiding to make similar mistakes in the future.
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