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  2. Manage spam and privacy in AOL Mail - AOL Help

    help.aol.com/articles/aol-mail-spam-and-privacy

    Select the email. Click Spam.; If you're given the option, click Unsubscribe and you will no longer receive messages from the mailing list. If you click the "Mark as Spam" icon, the message will be marked as spam and moved into the spam folder.

  3. Control excessive spam email - AOL Help

    help.aol.com/articles/Control-excessive-spam-email

    Even though spam attacks typically end in about a week, there are things you can do to manage it. • Mark spam and mailing lists. • Create filters to keep your inbox clear. • Create strong and unique passwords for your accounts. • Check credit card and bank statements for illegitimate transactions. • Log in to your shopping accounts to ...

  4. Manage spam in AOL Mail - AOL Help

    help.aol.com/articles/manage-spam-in-aol-mail

    While 99.9% of spam, malware and phishing emails are being caught by our spam filters, occasionally some can slip through. When this happens, it's very important to mark the email as spam, then our system will learn that messages from a specific sender aren't good and helps us make AOL Mail even better at recognizing future spam emails.

  5. Missing emails? How to find and check your spam folder

    www.aol.com/lifestyle/missing-emails-check-spam...

    You can also use the search bar to hunt by keyword or sender (type in "spam:" then the keyword). Many email services also offer filters (and advanced filters) that let you search the messages in ...

  6. How to Block Annoying Emails for Good - AOL

    www.aol.com/block-annoying-emails-good-190739065...

    Open an email from the sender that you want to block. Click the three-dot icon at the top of the email. Click “Block Sender”. App. Tap the menu in the top left corner. Choose “Tools ...

  7. Naive Bayes spam filtering - Wikipedia

    en.wikipedia.org/wiki/Naive_Bayes_spam_filtering

    Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag-of-words features to identify email spam, an approach commonly used in text classification . Naive Bayes classifiers work by correlating the use of tokens (typically words, or sometimes other things), with spam and non-spam e-mails and then ...

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