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    <title>Yup Dot Com: Tag bayes</title>
    <link>http://www.yup.com/articles/tag/bayes?tag=bayes</link>
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    <ttl>40</ttl>
    <description>Advanced Web Services</description>
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      <title>Simple, Automatic Text Classification in Ruby on Rails</title>
      <description>&lt;div style="text-align:center; font-size: 0.7em; color: #666; float:right; border: 1px dotted #ccc; padding: 4px; margin: 4px"&gt;&lt;img  src="http://upload.wikimedia.org/wikipedia/en/thumb/3/3a/Thomasbayes.jpg/180px-Thomasbayes.jpg" alt="Thomas Bayes" title="Thomas Bayes" /&gt;&lt;br/&gt;&lt;i&gt;Thomas Bayes, 1702-1761&lt;/i&gt;&lt;/div&gt;

&lt;p&gt;Surendra Singhi of Calcutta, India, has released an extremely useful text classification plugin for Ruby on Rails. Using a &lt;a href="http://en.wikipedia.org/wiki/Naive_Bayes_classifier"&gt;Bayesian classifier&lt;/a&gt;  you can flag comments, email, articles&amp;mdash;whatever chunks of text you&amp;#8217;d like to keep a handle on so that when you encounter more like it, you can do something automatically with it. Pick some categories, such as &amp;#8216;spam&amp;#8217; or &amp;#8216;not spam&amp;#8217;, &amp;#8216;good&amp;#8217; or &amp;#8216;evil&amp;#8217;, or even &amp;#8216;ironic&amp;#8217; and &amp;#8216;irony-free&amp;#8217;, classify some existing text or data, and then use the method to predict the classification of an unknown text. &lt;/p&gt;

&lt;p&gt;Read more for a summary of its usage.&lt;/p&gt;</description>
      <pubDate>Thu, 18 May 2006 19:27:00 -0400</pubDate>
      <guid isPermaLink="false">urn:uuid:beeef997-9f87-49a3-9937-526b286faddf</guid>
      <author>Daniel Butler</author>
      <link>http://www.yup.com/articles/2006/05/18/simple-automatic-text-classification-in-ruby-on-rails</link>
      <category>Ruby on Rails</category>
      <category>plugin</category>
      <category>bayes</category>
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