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	<title>brain of matpalm &#187; e13</title>
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	<description>thoughts from a data scientist wannabe</description>
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		<title>semi supervised naive bayes for text classification</title>
		<link>http://matpalm.com/blog/2010/02/14/semi-supervised-naive-bayes-for-text-classification/</link>
		<comments>http://matpalm.com/blog/2010/02/14/semi-supervised-naive-bayes-for-text-classification/#comments</comments>
		<pubDate>Sun, 14 Feb 2010 11:46:42 +0000</pubDate>
		<dc:creator>matpalm</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[e13]]></category>
		<category><![CDATA[naive bayes]]></category>
		<category><![CDATA[semi supervised]]></category>

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		<description><![CDATA[experiment 13; a test of semi supervised naive bayes for text classification is complete.
semi supervised algorithms seem to work pretty well and i can see how they are a huge benefit for text classification where you can have an enormous corpus but not enough time to label it all&#8230;
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			<content:encoded><![CDATA[<p>experiment 13; <a href="http://matpalm.com/semi_supervised_naive_bayes/">a test of semi supervised naive bayes for text classification</a> is complete.</p>
<p>semi supervised algorithms seem to work pretty well and i can see how they are a huge benefit for text classification where you can have an enormous corpus but not enough time to label it all&#8230;</p>
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