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	<title>Comments on: Integrating data and text analysis</title>
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	<link>http://jtonedm.com/2009/03/12/integrating-data-and-text-analysis/</link>
	<description>James Taylor on Everything Decision Management</description>
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		<title>By: Ralf Klinkenberg (Rapid-I)</title>
		<link>http://jtonedm.com/2009/03/12/integrating-data-and-text-analysis/comment-page-1/#comment-13315</link>
		<dc:creator>Ralf Klinkenberg (Rapid-I)</dc:creator>
		<pubDate>Wed, 18 Mar 2009 21:43:40 +0000</pubDate>
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		<description>Automated inbound e-mail routing to the persons in charge based on the content of the e-mails is already possible as this success story at the leading Austrian mobile phone service providers shows, where this is operational for two years already:&lt;a href=&quot;http://rapid-i.com/content/view/124/66/lang,en/&quot;&gt;

http://rapid-i.com/content/view/124/66/lang,en/&lt;/a&gt;

The same technology can applied to call center notes and other textual information.  The result can be combined with automated sentiment analysis and opinion mining, issue and topic detection, information extraction as well as with product and customer databases.  And this is not only possible with SAS but also with open source software like RapidMiner.

Besides of internal text data like e-mails, call center notes, and customer feedback, more and more companies use this technology on external text data, for example to automatically perform sentiment analysis and opinion mining on internet discussion groups, online market research, brand monitoring, competitive intelligence, etc.

Several major European consumer brands are monitored using this technology and several of the leading European market research companies employ it as well. </description>
		<content:encoded><![CDATA[<p>Automated inbound e-mail routing to the persons in charge based on the content of the e-mails is already possible as this success story at the leading Austrian mobile phone service providers shows, where this is operational for two years already:<a href="http://rapid-i.com/content/view/124/66/lang,en/"></p>
<p></a><a href="http://rapid-i.com/content/view/124/66/lang,en/">http://rapid-i.com/content/view/124/66/lang,en/</a></p>
<p>The same technology can applied to call center notes and other textual information.  The result can be combined with automated sentiment analysis and opinion mining, issue and topic detection, information extraction as well as with product and customer databases.  And this is not only possible with SAS but also with open source software like RapidMiner.</p>
<p>Besides of internal text data like e-mails, call center notes, and customer feedback, more and more companies use this technology on external text data, for example to automatically perform sentiment analysis and opinion mining on internet discussion groups, online market research, brand monitoring, competitive intelligence, etc.</p>
<p>Several major European consumer brands are monitored using this technology and several of the leading European market research companies employ it as well. </p>
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		<title>By: BioGenerics, &#171; Patient Centric Healthcare</title>
		<link>http://jtonedm.com/2009/03/12/integrating-data-and-text-analysis/comment-page-1/#comment-13298</link>
		<dc:creator>BioGenerics, &#171; Patient Centric Healthcare</dc:creator>
		<pubDate>Mon, 16 Mar 2009 13:44:46 +0000</pubDate>
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		<description>[...] Taylor on Text Analysis which if ever figured out would be very helpful in taking inbound e-mails, letters, and call center [...]</description>
		<content:encoded><![CDATA[<p>[...] Taylor on Text Analysis which if ever figured out would be very helpful in taking inbound e-mails, letters, and call center [...]</p>
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