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	<title>Hawk Wings &#187; latent semantic analysis</title>
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	<description>Tips and add-ons to make Apple Mail / Mail.app even better</description>
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		<title>How Bayesian spam filtering works</title>
		<link>http://www.hawkwings.net/2006/02/10/how-bayesian-spam-filtering-works/</link>
		<comments>http://www.hawkwings.net/2006/02/10/how-bayesian-spam-filtering-works/#comments</comments>
		<pubDate>Thu, 09 Feb 2006 13:43:43 +0000</pubDate>
		<dc:creator>Tim Gaden</dc:creator>
				<category><![CDATA[Apple Mail]]></category>
		<category><![CDATA[bayesian filtering]]></category>
		<category><![CDATA[junk filter]]></category>
		<category><![CDATA[latent semantic analysis]]></category>
		<category><![CDATA[lsa]]></category>
		<category><![CDATA[mail.app]]></category>
		<category><![CDATA[spam]]></category>

		<guid isPermaLink="false">http://www.hawkwings.net/2006/02/10/how-bayesian-spam-filtering-works/</guid>
		<description><![CDATA[Process Software offers an explanation of how Bayes' forumula is used in spam filtering apps like SpamSieve, SpamFire and JunkMatcher.Apple Mail's built-in Junk Filter uses a different process called "Latent Semantic Analysis".]]></description>
			<content:encoded><![CDATA[<p>Feast your eyes on this little beauty:</p>
<div align="center"><img src="http://www.hawkwings.net/wp-content/wp-images/bayesformula.jpg" height="90" width="310" border="0" hspace="0" vspace="10" alt="bayesformula" title="bayesformula" /></div>
<p>This is Bayes&#8217; formula. It is the maths behind the Bayesian filtering used by spam-catching apps like SpamSieve, SpamFire and JunkMatcher.</p>
<p>Process Software <a href="http://www.process.com/precisemail/bayesian_filtering.htm">offers a lucid and racy explanation</a> <img src="http://www.hawkwings.net/images/extlink.jpg"/> of how Bayes&#8217; forumula works to keep spam out of your Inbox. You will be surprised how interesting it is. I was.</p>
<p>Apple Mail&#8217;s built-in Junk Filter uses a different process called &#8220;Latent Semantic Analysis&#8221;. </p>
<p><a href="http://www.hawkwings.net/2005/12/24/how-apple-mails-junk-filter-is-not-like-the-others/">&#8220;Mail.app&#8217;s Junk Filter is not like the others&#8221;</a> contains a number of links to explanations of LSA and how it differs from Bayesian filtering.<tags>spam, lsa, latent semantic analysis, bayesian filtering, junk filter, mail.app, apple mail</tags><strong>Similar Posts:</strong>
<ul class="similar-posts">
<li><a href="http://www.hawkwings.net/2005/12/24/how-apple-mails-junk-filter-is-not-like-the-others/" rel="bookmark" title="24 December 2005, 2:44 am">Mail.app&#8217;s Junk Filter is not like the others</a></li>
<li><a href="http://www.hawkwings.net/2005/08/20/how-apple-mails-junk-filter-works/" rel="bookmark" title="20 August 2005, 9:19 am">How Apple Mail&#8217;s Junk Filter works</a></li>
<li><a href="http://www.hawkwings.net/2005/10/11/spamfire-extra-spam-protection-for-apple-mail/" rel="bookmark" title="11 October 2005, 9:09 pm">Spamfire: Extra spam protection for Apple Mail</a></li>
<li><a href="http://www.hawkwings.net/2006/07/27/image-spam-spam-gets-more-canny/" rel="bookmark" title="27 July 2006, 10:55 pm">Image spam: Spam gets more canny</a></li>
<li><a href="http://www.hawkwings.net/2007/04/30/three-new-online-tutorials-for-mailapp-users/" rel="bookmark" title="30 April 2007, 11:42 pm">Three new online tutorials for Mail.app users</a></li>
</ul>
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]]></content:encoded>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>Mail.app&#8217;s Junk Filter is not like the others</title>
		<link>http://www.hawkwings.net/2005/12/24/how-apple-mails-junk-filter-is-not-like-the-others/</link>
		<comments>http://www.hawkwings.net/2005/12/24/how-apple-mails-junk-filter-is-not-like-the-others/#comments</comments>
		<pubDate>Fri, 23 Dec 2005 15:44:09 +0000</pubDate>
		<dc:creator>Tim Gaden</dc:creator>
				<category><![CDATA[Apple Mail]]></category>
		<category><![CDATA[Apple Mail Tips]]></category>
		<category><![CDATA[Bayesian]]></category>
		<category><![CDATA[bayesian filtering]]></category>
		<category><![CDATA[junk filter]]></category>
		<category><![CDATA[latent semantic analysis]]></category>
		<category><![CDATA[lsa]]></category>
		<category><![CDATA[mail.app]]></category>
		<category><![CDATA[spam]]></category>

		<guid isPermaLink="false">http://www.hawkwings.net/?p=495</guid>
		<description><![CDATA[Mail.app's Junk filter is not a Bayesian one like the spam catching technology in SpamSieve and many other spam-fighting apps. Instead it uses a technique called Latent Semantic Analysis (LSA). Some links to posts that describe the difference ...]]></description>
			<content:encoded><![CDATA[<p><img src="http://www.hawkwings.net/wp-content/wp-images/junkmail-1.jpg" height="57" width="60" border="0" align="right" hspace="5" vspace="0" alt="junkmail" title="junkmail" /><tag>Mail.app</tag>&#8216;s Junk filter is not a <tag>Bayesian</tag> one like the spam catching technology in SpamSieve and many other spam-fighting apps. Instead it uses a technique called Latent Semantic Analysis (LSA).</p>
<p>I&#8217;ve blogged <a href="http://www.hawkwings.net/2005/08/20/how-apple-mails-junk-filter-works/">two excellent descriptions</a> of the way this filter works in <tag>Apple Mail</tag> before, but today came across <a href="http://www.pacificavc.com/blog/2003/02/10.html#a78">a third explanation</a> with the imposing title, &#8220;Bayesian Nets, Latent Semantics, Despamming and other speculations&#8221;.  </p>
<p>The post describes the differences between Bayesian and LSA and a whole lot more. It&#8217;s over two years old, but a good read and packed full of links to other resources on spam.</p>
<p>[via <a href="http://www.paulstimesink.com/post/2005/12/22/spam_filtering_in_apple_mail">Paul's Time Sink</a>.]<tags>spam, bayesian filtering, Latent Semantic Analysis, LSA, mail.app, apple mail, junk filter</tags><strong>Similar Posts:</strong>
<ul class="similar-posts">
<li><a href="http://www.hawkwings.net/2006/02/10/how-bayesian-spam-filtering-works/" rel="bookmark" title="10 February 2006, 12:43 am">How Bayesian spam filtering works</a></li>
<li><a href="http://www.hawkwings.net/2005/08/20/how-apple-mails-junk-filter-works/" rel="bookmark" title="20 August 2005, 9:19 am">How Apple Mail&#8217;s Junk Filter works</a></li>
<li><a href="http://www.hawkwings.net/2006/07/27/image-spam-spam-gets-more-canny/" rel="bookmark" title="27 July 2006, 10:55 pm">Image spam: Spam gets more canny</a></li>
<li><a href="http://www.hawkwings.net/2005/10/11/spamfire-extra-spam-protection-for-apple-mail/" rel="bookmark" title="11 October 2005, 9:09 pm">Spamfire: Extra spam protection for Apple Mail</a></li>
<li><a href="http://www.hawkwings.net/2006/11/13/mailapp-and-spamassassin-in-spam-catching-harmony/" rel="bookmark" title="13 November 2006, 8:32 pm">Mail.app and SpamAssassin in spam-catching harmony</a></li>
</ul>
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		<slash:comments>2</slash:comments>
		</item>
		<item>
		<title>How Apple Mail&#8217;s Junk Filter works</title>
		<link>http://www.hawkwings.net/2005/08/20/how-apple-mails-junk-filter-works/</link>
		<comments>http://www.hawkwings.net/2005/08/20/how-apple-mails-junk-filter-works/#comments</comments>
		<pubDate>Fri, 19 Aug 2005 23:19:07 +0000</pubDate>
		<dc:creator>Tim Gaden</dc:creator>
				<category><![CDATA[Apple Mail]]></category>
		<category><![CDATA[Apple Mail Tips]]></category>
		<category><![CDATA[junk filter]]></category>
		<category><![CDATA[latent semantic analysis]]></category>
		<category><![CDATA[lsa]]></category>
		<category><![CDATA[mail.app]]></category>
		<category><![CDATA[spam]]></category>

		<guid isPermaLink="false">http://www.hawkwings.net/?p=50</guid>
		<description><![CDATA[But how does it work?An article on O'Rielly's mac devcenter web site describes the technology behind the filter and how the filter works.]]></description>
			<content:encoded><![CDATA[<p><img src="http://www.hawkwings.net/wp-content/wp-images/tools_icon-1.jpg" height="60" width="60" border="0" align="right" hspace="5" vspace="0" alt="underthehood" title="underthehood" />Apple Mail&#8217;s built-in Junk Filter is a joy to use and one of the app&#8217;s most welcome features.  But how does it work?</p>
<p><a href="http://www.macdevcenter.com/pub/a/mac/2004/05/18/spam_pt2.html">An article on O&#8217;Reilly&#8217;s mac devcenter web site</a> describes the technology behind the filter and how the filter works.   Be amazed by reading about vector representation, semantic analysis and all the science that powers the filter, or just learn how to fine-tune the filter for your own needs.  </p>
<p>Joe Kissel provides another explanation of the Junk filter and the tech behind it on the <a href="http://db.tidbits.com/getbits.acgi?tbart=07677">TidBits website</a>.<tags>spam, mail.app, apple mail, junk filter, latent semantic analysis, lsa</tags><strong>Similar Posts:</strong>
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<li><a href="http://www.hawkwings.net/2006/07/27/image-spam-spam-gets-more-canny/" rel="bookmark" title="27 July 2006, 10:55 pm">Image spam: Spam gets more canny</a></li>
<li><a href="http://www.hawkwings.net/2006/11/13/mailapp-and-spamassassin-in-spam-catching-harmony/" rel="bookmark" title="13 November 2006, 8:32 pm">Mail.app and SpamAssassin in spam-catching harmony</a></li>
<li><a href="http://www.hawkwings.net/2005/10/11/spamfire-extra-spam-protection-for-apple-mail/" rel="bookmark" title="11 October 2005, 9:09 pm">Spamfire: Extra spam protection for Apple Mail</a></li>
</ul>
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		<slash:comments>5</slash:comments>
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