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	<title>Comments on: Text mining for compliance and legal discovery</title>
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	<link>http://www.texttechnologies.com/2006/07/23/text-mining-compliance-discovery/</link>
	<description>Understanding technology ... in both senses of the phrase</description>
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		<title>By: Text Technologies&#187;Blog Archive &#187; Application processes in text mining – finding warning signs</title>
		<link>http://www.texttechnologies.com/2006/07/23/text-mining-compliance-discovery/#comment-1655</link>
		<dc:creator>Text Technologies&#187;Blog Archive &#187; Application processes in text mining – finding warning signs</dc:creator>
		<pubDate>Thu, 27 Jul 2006 09:36:08 +0000</pubDate>
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		<description>[...] 3. In other cases, one is looking for trouble even before one has found some. Compliance often falls into this category, as does web-crawling reputation management. One process, favored by Autonomy, is simply to monitor document flow for all important themes, and hope that the trouble signs jump out at you. Alternatively, one can monitor documents for known bad event flags – vehicle malfunctions, drug side effects, angry customers, whatever. If there are only a few documents with such flags, one can read them directly If there are too many for humans to just read and digest in a timely manner – well, then you’ve transitioned into Case 1 or Case 2!      &#8226; &#8226; &#8226; [...]</description>
		<content:encoded><![CDATA[<p>[...] 3. In other cases, one is looking for trouble even before one has found some. Compliance often falls into this category, as does web-crawling reputation management. One process, favored by Autonomy, is simply to monitor document flow for all important themes, and hope that the trouble signs jump out at you. Alternatively, one can monitor documents for known bad event flags – vehicle malfunctions, drug side effects, angry customers, whatever. If there are only a few documents with such flags, one can read them directly If there are too many for humans to just read and digest in a timely manner – well, then you’ve transitioned into Case 1 or Case 2!      &#8226; &#8226; &#8226; [...]</p>
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		<title>By: Text Technologies&#187;Blog Archive &#187; Introduction to ClearForest</title>
		<link>http://www.texttechnologies.com/2006/07/23/text-mining-compliance-discovery/#comment-1553</link>
		<dc:creator>Text Technologies&#187;Blog Archive &#187; Introduction to ClearForest</dc:creator>
		<pubDate>Sun, 23 Jul 2006 11:12:59 +0000</pubDate>
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		<description>[...] ClearForest is one of the two companies whose name comes up for fact extraction applications, probably even a little ahead of Attensity. Their flagship account is the GM deal they did with IBM, kicking off the whole warranty report mining boom. Procter &amp; Gamble is no slouch of a customer either. They’re involved enough in anti-terrorism that, when I asked Jay if he knew who Cogito was, he said “Of course.” And apparently one of their techie founders is the guy who coined the term “text mining” in the first place. [...]</description>
		<content:encoded><![CDATA[<p>[...] ClearForest is one of the two companies whose name comes up for fact extraction applications, probably even a little ahead of Attensity. Their flagship account is the GM deal they did with IBM, kicking off the whole warranty report mining boom. Procter &#38; Gamble is no slouch of a customer either. They’re involved enough in anti-terrorism that, when I asked Jay if he knew who Cogito was, he said “Of course.” And apparently one of their techie founders is the guy who coined the term “text mining” in the first place. [...]</p>
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