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	<title>Gigaom Search &#187; People &#187; Kalev Leetaru</title>
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		<title>How to analyze the world. All of it</title>
		<link>http://events.gigaom.com/structuredata-2015/session/how-to-analyze-the-world-all-of-it/</link>
		<comments>http://events.gigaom.com/structuredata-2015/session/how-to-analyze-the-world-all-of-it/#comments</comments>
		<pubDate>Fri, 06 Mar 2015 11:41:24 +0000</pubDate>
		<dc:creator><![CDATA[monicabadgley]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Structure Data]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
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		<description><![CDATA[The GDELT Project (http://gdeltproject.org/) is a realtime index over global human society, inventorying the world’s events, emotions, and narratives as they happen.]]></description>
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		<title>A massive database now translates news in 65 languages in real time</title>
		<link>http://gigaom.com/2015/02/19/a-massive-database-now-translates-news-in-65-languages-in-real-time/</link>
		<comments>http://gigaom.com/2015/02/19/a-massive-database-now-translates-news-in-65-languages-in-real-time/#comments</comments>
		<pubDate>Thu, 19 Feb 2015 22:40:37 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[GDELT]]></category>
		<category><![CDATA[machine translation]]></category>
		<category><![CDATA[Open Data]]></category>
		<category><![CDATA[Structure Data 2015]]></category>
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		<description><![CDATA[I have written quite a bit about GDELT (the Global Database of Events, Languages and Tone) over the past year, because I think it's a great example of the type of ambitious project&#8230;]]></description>
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		<slash:comments>3</slash:comments>
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		<title>The tricky business of acting on live data before it&#8217;s too late</title>
		<link>https://gigaom.com/2014/09/21/the-tricky-business-of-acting-on-live-data-before-its-too-late/</link>
		<comments>https://gigaom.com/2014/09/21/the-tricky-business-of-acting-on-live-data-before-its-too-late/#comments</comments>
		<pubDate>Sun, 21 Sep 2014 18:04:24 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[Dataminr]]></category>
		<category><![CDATA[Ebola]]></category>
		<category><![CDATA[GDELT]]></category>
		<category><![CDATA[Open Data]]></category>
		<category><![CDATA[Twitter data]]></category>

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		<description><![CDATA[We're generating more data than ever and analyzing a lot more of it, too. But when it comes to responding quickly to potential public health crises or other situations, we need&#8230;]]></description>
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		<slash:comments>3</slash:comments>
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		<title>Here&#8217;s why the democratization of big data really, really should excite you. Yes &#8230; you.</title>
		<link>https://gigaom.com/2014/08/28/heres-why-the-democratization-of-big-data-really-really-should-excite-you-yes-you/</link>
		<comments>https://gigaom.com/2014/08/28/heres-why-the-democratization-of-big-data-really-really-should-excite-you-yes-you/#comments</comments>
		<pubDate>Thu, 28 Aug 2014 07:00:52 +0000</pubDate>
		<dc:creator><![CDATA[Barb Darrow]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[GDELT]]></category>
		<category><![CDATA[Google Cloud]]></category>
		<category><![CDATA[Structure Show]]></category>
		<category><![CDATA[The Structure Show]]></category>
		<category><![CDATA[VMworld 2014]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:YHOO]]></category>
		<category domain="http://search.gigaom.com/stock/"><![CDATA[NYSE:VMW]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=868250</guid>
		<description><![CDATA[In the not-so-distant past, if you wanted to query huge data sets, you needed authorized access to the big iron of supercomputers. The era of big data and public cloud has&#8230;]]></description>
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		<slash:comments>0</slash:comments>
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		<title>This analysis of modern history is a prime example of why big data really matters</title>
		<link>https://gigaom.com/2014/08/13/this-analysis-of-modern-history-is-a-prime-example-of-why-big-data-really-matters/</link>
		<comments>https://gigaom.com/2014/08/13/this-analysis-of-modern-history-is-a-prime-example-of-why-big-data-really-matters/#comments</comments>
		<pubDate>Wed, 13 Aug 2014 18:28:51 +0000</pubDate>
		<dc:creator><![CDATA[Derrick Harris]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[GDELT]]></category>
		<category><![CDATA[geopolitics]]></category>
		<category><![CDATA[Open Data]]></category>
<category domain="http://search.gigaom.com/stock/"><![CDATA[NSDQ:GOOG]]></category>
		
		<guid isPermaLink="false">http://gigaom.com/?p=864795</guid>
		<description><![CDATA[A researcher has analyzed the past 35 years of world history in order to find periods most similar to present-day Ukraine and Arab-Spring-era Egypt. It's a great example of the power&#8230;]]></description>
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		<slash:comments>4</slash:comments>
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		<title>The world according to Twitter as seen through a high-performance computer</title>
		<link>https://gigaom.com/2012/11/13/the-world-according-to-twitter-as-seen-through-a-high-performance-computer/</link>
		<comments>https://gigaom.com/2012/11/13/the-world-according-to-twitter-as-seen-through-a-high-performance-computer/#comments</comments>
		<pubDate>Tue, 13 Nov 2012 15:00:03 +0000</pubDate>
		<dc:creator><![CDATA[Stacey Higginbotham]]></dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[real-time]]></category>
		<category><![CDATA[SGI]]></category>
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		<guid isPermaLink="false">http://gigaom.com/?p=583770</guid>
		<description><![CDATA[A big brain computer tracks Twitter's global heartbeat during the 2012 elections and Hurricane Sandy in a research project created by two Illinois academics proving that real-time analysis of unstructured data&#8230;]]></description>
		<wfw:commentRss>https://gigaom.com/2012/11/13/the-world-according-to-twitter-as-seen-through-a-high-performance-computer/feed/</wfw:commentRss>
		<slash:comments>3</slash:comments>
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