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Its spam filter is accurate and parental control is much improved.
If it is not exclusive, it prevents email from being deleted or sent to the junk mail folder by the spam filter.
Version 5 added an ineffective integral twit/spam filter and the ability to write messages in chosen fonts and colors with inline images.
While this is highly effective, spammers do frequently send gibberish posts (such as ajliabisadf ljibia aeriqoj) to test the spam filter for moderation system detection.
It is intended to be a scalable, content-based spam filter for large multi-user systems.
It may be used to display a sample of fonts, generate text for testing, or to spoof an e-mail spam filter.
The actual e-mail message generated to the recipient addresses will usually be a short random phrase such as hello, so as not to trigger a spam filter.
For example, the spam filter would make a guess after each line or after every x bytes received as to how likely this message is going to be spam.
Most applications here are adaptive spam filters and document classification.
One type is adaptive spam filters that learn to recognize spam from classified e-mail messages.
New features in version 2 included better spam filters, better user filters and a new cleaner look.
Their goal was to improve relevancy, create a larger index, and to introduce family-friendly and spam filtered results.
Spam filters typically do not provide users with protection against pharming.
Other reasons include resource exhaustion such as a full disk or the rejection of the message due to spam filters.
They are also carried along in email in order to fool spam filters by giving the spam the superficial characteristics of legitimate text.
