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	<title>Comments on: Here&#8217;s one way to beat baysian and other content filtering</title>
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	<link>http://elliottback.com/wp/heres-one-way-to-beat-baysian-and-other-content-filtering/</link>
	<description>Internet &#38; Technology</description>
	<lastBuildDate>Wed, 08 Feb 2012 10:01:08 +0000</lastBuildDate>
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		<title>By: Elliot Lee</title>
		<link>http://elliottback.com/wp/heres-one-way-to-beat-baysian-and-other-content-filtering/#comment-5897</link>
		<dc:creator>Elliot Lee</dc:creator>
		<pubDate>Mon, 17 Oct 2005 02:35:55 +0000</pubDate>
		<guid isPermaLink="false">http://elliottback.com/wp/?p=1071#comment-5897</guid>
		<description>In your screenshot, &quot;Thunderbird thinks this message is junk.&quot; Looks like it worked after all!

And if not, I don&#039;t see why bayesian filters don&#039;t consider image tags as well. Sure, you might not be able to decipher the text on-the-run; but you know there&#039;s an image there, and the size of the image. If it&#039;s just a little clipart or icon, it could pass. You could then program your filter to look down on messages that start off with a large image, for example.</description>
		<content:encoded><![CDATA[<p>In your screenshot, &#8220;Thunderbird thinks this message is junk.&#8221; Looks like it worked after all!</p>
<p>And if not, I don&#8217;t see why bayesian filters don&#8217;t consider image tags as well. Sure, you might not be able to decipher the text on-the-run; but you know there&#8217;s an image there, and the size of the image. If it&#8217;s just a little clipart or icon, it could pass. You could then program your filter to look down on messages that start off with a large image, for example.</p>
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		<title>By: Steven</title>
		<link>http://elliottback.com/wp/heres-one-way-to-beat-baysian-and-other-content-filtering/#comment-5887</link>
		<dc:creator>Steven</dc:creator>
		<pubDate>Sun, 16 Oct 2005 23:25:14 +0000</pubDate>
		<guid isPermaLink="false">http://elliottback.com/wp/?p=1071#comment-5887</guid>
		<description>This is not really true. Get a better Bayesian filter. Words that are not in your corpus as either good or bad will not be used by the Bayesian filter to judge the message one way or another.</description>
		<content:encoded><![CDATA[<p>This is not really true. Get a better Bayesian filter. Words that are not in your corpus as either good or bad will not be used by the Bayesian filter to judge the message one way or another.</p>
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		<title>By: Elliott Back</title>
		<link>http://elliottback.com/wp/heres-one-way-to-beat-baysian-and-other-content-filtering/#comment-5879</link>
		<dc:creator>Elliott Back</dc:creator>
		<pubDate>Sun, 16 Oct 2005 19:48:42 +0000</pubDate>
		<guid isPermaLink="false">http://elliottback.com/wp/?p=1071#comment-5879</guid>
		<description>What&#039;s sad is that this is not even the best way to beat bayesian filters... just a rather clever dumb one.</description>
		<content:encoded><![CDATA[<p>What&#8217;s sad is that this is not even the best way to beat bayesian filters&#8230; just a rather clever dumb one.</p>
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		<title>By: Marco</title>
		<link>http://elliottback.com/wp/heres-one-way-to-beat-baysian-and-other-content-filtering/#comment-5876</link>
		<dc:creator>Marco</dc:creator>
		<pubDate>Sun, 16 Oct 2005 19:16:53 +0000</pubDate>
		<guid isPermaLink="false">http://elliottback.com/wp/?p=1071#comment-5876</guid>
		<description>I got many, MANY prescription-meds spam last year using this technique. They just add a load of garbage text and it beats any spamfilter.</description>
		<content:encoded><![CDATA[<p>I got many, MANY prescription-meds spam last year using this technique. They just add a load of garbage text and it beats any spamfilter.</p>
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