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	<title>The Text Frontier</title>
	
	<link>http://blogs.sas.com/content/text-mining</link>
	<description>Text mining, voice mining and unstructured data analysis</description>
	<lastBuildDate>Fri, 19 Apr 2013 14:58:02 +0000</lastBuildDate>
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		<title>Get More Value From Promoter Scores</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/NvZ3JEYOCuE/</link>
		<comments>http://blogs.sas.com/content/text-mining/2013/04/19/get-more-value-from-promoter-scores/#comments</comments>
		<pubDate>Fri, 19 Apr 2013 14:58:02 +0000</pubDate>
		<dc:creator>Fiona McNeill</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[churn analysis]]></category>
		<category><![CDATA[net promoter score]]></category>
		<category><![CDATA[predicting churn]]></category>
		<category><![CDATA[promoter score]]></category>
		<category><![CDATA[promoter score analysis]]></category>
		<category><![CDATA[Rick Newberry]]></category>
		<category><![CDATA[sas]]></category>
		<category><![CDATA[text analytics]]></category>
		<category><![CDATA[text mining]]></category>
		<category><![CDATA[voice of the customer]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=706</guid>
		<description>Some may remember that old shampoo commercial for Faberge Organics (with wheat germ and honey - I may add).  If someone likes the shampoo they’ll tell two friends, and so on, and so on (and yes, we all had bad hair in the 80s, in this life - or a [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/NvZ3JEYOCuE" height="1" width="1"/&gt;</description>
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		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2013/04/19/get-more-value-from-promoter-scores/</feedburner:origLink></item>
		<item>
		<title>Unstructured data is “Too Big to Ignore”</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/S9rmGstRzbM/</link>
		<comments>http://blogs.sas.com/content/text-mining/2013/04/01/unstructured-data-is-too-big-to-ignore/#comments</comments>
		<pubDate>Mon, 01 Apr 2013 18:18:34 +0000</pubDate>
		<dc:creator>Fiona McNeill</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[big data]]></category>
		<category><![CDATA[Phil Simon]]></category>
		<category><![CDATA[sas]]></category>
		<category><![CDATA[text analysis]]></category>
		<category><![CDATA[unstructured data]]></category>
		<category><![CDATA[visual analytics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=696</guid>
		<description>Unstructured data is “Too Big to Ignore” Phil Simon’s latest book: “Too Big to Ignore: The Business Case for Big Data” takes the reader on a journey traversing our familiar relational information comfort zone to the current big data overload most are just beginning to wade through. With case studies, [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/S9rmGstRzbM" height="1" width="1"/&gt;</description>
		<wfw:commentRss>http://blogs.sas.com/content/text-mining/2013/04/01/unstructured-data-is-too-big-to-ignore/feed/</wfw:commentRss>
		<slash:comments>1</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2013/04/01/unstructured-data-is-too-big-to-ignore/</feedburner:origLink></item>
		<item>
		<title>Putting together the Text Puzzle</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/UckHROd4Iiw/</link>
		<comments>http://blogs.sas.com/content/text-mining/2013/01/16/putting-together-the-text-puzzle/#comments</comments>
		<pubDate>Wed, 16 Jan 2013 16:29:37 +0000</pubDate>
		<dc:creator>Dan Zaratsian</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[customer intelligence]]></category>
		<category><![CDATA[text analytics]]></category>
		<category><![CDATA[voice of the customer]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=640</guid>
		<description>Are you currently monitoring social media conversations for customer feedback about your products or services?  Maybe you want to predict or uncover fraud based on emails, online forums, or chat sessions.  Or, if you’re like many of our customers, you’re inundated with call center notes and surveys, both of which [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/UckHROd4Iiw" height="1" width="1"/&gt;</description>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2013/01/16/putting-together-the-text-puzzle/</feedburner:origLink></item>
		<item>
		<title>Analyzing Social Media Data and Saving Babies</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/njAtvfLrBdA/</link>
		<comments>http://blogs.sas.com/content/text-mining/2012/12/06/analyzing-social-media-data-and-saving-babies/#comments</comments>
		<pubDate>Thu, 06 Dec 2012 18:17:38 +0000</pubDate>
		<dc:creator>Fiona McNeill</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[#adverse event detection]]></category>
		<category><![CDATA[#early warning]]></category>
		<category><![CDATA[#textanalytics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=627</guid>
		<description>~ Contributed by Susan Quinn ~ I live in North Texas.  The summer months are hot, and we typically see a surge in the number of creepy crawlies and flying insects…especially mosquitos.  This year was different.  This year those mosquitos carried West Nile virus.   As of this writing, the virus [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/njAtvfLrBdA" height="1" width="1"/&gt;</description>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2012/12/06/analyzing-social-media-data-and-saving-babies/</feedburner:origLink></item>
		<item>
		<title>Analyzing Twitter for churn propensity</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/nsiE2Q9K9IM/</link>
		<comments>http://blogs.sas.com/content/text-mining/2012/12/03/analyzing-twitter-for-churn-propensity/#comments</comments>
		<pubDate>Mon, 03 Dec 2012 16:00:17 +0000</pubDate>
		<dc:creator>Jim Cox</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[churn]]></category>
		<category><![CDATA[text analytics]]></category>
		<category><![CDATA[text mining]]></category>
		<category><![CDATA[twitter data]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=620</guid>
		<description>With contributions from David Ogden &amp;#38; Barry deVille Adding Text Analytics to your predictive modeling has proven to result in better predictive models, including those related to customer churn.  Once text data (e.g. call center comments, website feedback forms, blogs, emails, twitter) is converted to structured variable(s) and included in [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/nsiE2Q9K9IM" height="1" width="1"/&gt;</description>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2012/12/03/analyzing-twitter-for-churn-propensity/</feedburner:origLink></item>
		<item>
		<title>‘That’ Meatloaf Won’t Do</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/Tr3MgiFneCo/</link>
		<comments>http://blogs.sas.com/content/text-mining/2012/11/13/that-meatloaf-wont-do/#comments</comments>
		<pubDate>Tue, 13 Nov 2012 19:34:06 +0000</pubDate>
		<dc:creator>Fiona McNeill</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[content categorization]]></category>
		<category><![CDATA[pronoun resolution]]></category>
		<category><![CDATA[SAS 12.1]]></category>
		<category><![CDATA[sentiment analysis]]></category>
		<category><![CDATA[text analytics]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=615</guid>
		<description>A few weeks ago my friends and I were at a karaoke night and a married couple put in for Meatloaf's "I Would Do Anything for Love (But I Won't Do That)" simply because it had both male and female parts (and likely because they’d gotten sick of the duet [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/Tr3MgiFneCo" height="1" width="1"/&gt;</description>
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		<slash:comments>2</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2012/11/13/that-meatloaf-wont-do/</feedburner:origLink></item>
		<item>
		<title>Feeling Presidential</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/1ZfRyfTBLRs/</link>
		<comments>http://blogs.sas.com/content/text-mining/2012/11/06/feeling-presidential/#comments</comments>
		<pubDate>Tue, 06 Nov 2012 17:42:29 +0000</pubDate>
		<dc:creator>Justin Plumley</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[presidential election; text analytics; sentiment analysis]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=605</guid>
		<description>I give the patch of red-green crabgrass at my feet a couple of small kicks, and the wind picks up just enough to make the flag pop a few times before it falls to rest again.  Four or five spots ahead of me, a young mother bends over her stroller [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/1ZfRyfTBLRs" height="1" width="1"/&gt;</description>
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		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2012/11/06/feeling-presidential/</feedburner:origLink></item>
		<item>
		<title>Active Learning: Model-building via man-machine cooperation</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/JngAE4Bx3nc/</link>
		<comments>http://blogs.sas.com/content/text-mining/2012/10/08/active-learning-model-building-via-man-machine-cooperation/#comments</comments>
		<pubDate>Mon, 08 Oct 2012 16:52:44 +0000</pubDate>
		<dc:creator>Jim Cox</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Active Learning]]></category>
		<category><![CDATA[SAS Text Miner]]></category>
		<category><![CDATA[text analytics]]></category>
		<category><![CDATA[Text Rule Builder]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=585</guid>
		<description>“Forty-two”, said Deep Thought, with infinite majesty and calm. “The Answer to the Great Question, of Life, the Universe and Everything.... I checked it very thoroughly," said the computer, "and that quite definitely is the answer. I think the problem, to be quite honest with you, is that you've never [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/JngAE4Bx3nc" height="1" width="1"/&gt;</description>
		<wfw:commentRss>http://blogs.sas.com/content/text-mining/2012/10/08/active-learning-model-building-via-man-machine-cooperation/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2012/10/08/active-learning-model-building-via-man-machine-cooperation/</feedburner:origLink></item>
		<item>
		<title>Social media speaks to sentiment: SAS Championship is classy and fun</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/WFsNcgqJFWU/</link>
		<comments>http://blogs.sas.com/content/text-mining/2012/10/04/social-media-speaks-to-sentiment-sas-championship-is-classy-and-fun/#comments</comments>
		<pubDate>Thu, 04 Oct 2012 19:24:15 +0000</pubDate>
		<dc:creator>Dan Zaratsian</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[@saschampionship]]></category>
		<category><![CDATA[analytics]]></category>
		<category><![CDATA[golf]]></category>
		<category><![CDATA[sas championship]]></category>
		<category><![CDATA[social network analysis]]></category>
		<category><![CDATA[text analytics]]></category>
		<category><![CDATA[text mining]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=576</guid>
		<description>They say golf is a simple game. The objective is straightforward; get a little white ball into the hole while minimizing the number of shots. Yet, anyone who has ever stepped up to the tee understands that there are many other factors at play. I can’t tell you why, but [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/WFsNcgqJFWU" height="1" width="1"/&gt;</description>
		<wfw:commentRss>http://blogs.sas.com/content/text-mining/2012/10/04/social-media-speaks-to-sentiment-sas-championship-is-classy-and-fun/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		<feedburner:origLink>http://blogs.sas.com/content/text-mining/2012/10/04/social-media-speaks-to-sentiment-sas-championship-is-classy-and-fun/</feedburner:origLink></item>
		<item>
		<title>Generation SAS: filling the analytic skills gap</title>
		<link>http://feedproxy.google.com/~r/TheTextFrontier/~3/XvxDKsonNCg/</link>
		<comments>http://blogs.sas.com/content/text-mining/2012/09/20/generation-sas-filling-the-analytic-skills-gap/#comments</comments>
		<pubDate>Thu, 20 Sep 2012 17:23:23 +0000</pubDate>
		<dc:creator>Fiona McNeill</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[A2012]]></category>
		<category><![CDATA[analytics]]></category>
		<category><![CDATA[sas]]></category>
		<category><![CDATA[text analytics]]></category>
		<category><![CDATA[text mining]]></category>
		<category><![CDATA[Twitter]]></category>

		<guid isPermaLink="false">http://blogs.sas.com/content/text-mining/?p=572</guid>
		<description>Did you know we have a blog dedicated to the voice of professors and students?  Generation SAS is a blog forum, encouraging submissions from all those working in school setting, to share their thoughts and research. Knowing that universities around the world are teaching text analytics using SAS, I’m thrilled [...]&lt;img src="http://feeds.feedburner.com/~r/TheTextFrontier/~4/XvxDKsonNCg" height="1" width="1"/&gt;</description>
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