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	<title>Thinknook &#187; full-text search</title>
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		<title>Keyword Stemming and Lemmatisation with Apache Solr</title>
		<link>http://thinknook.com/keyword-stemming-and-lemmatisation-with-apache-solr-2013-08-02/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=keyword-stemming-and-lemmatisation-with-apache-solr</link>
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		<pubDate>Fri, 02 Aug 2013 11:30:57 +0000</pubDate>
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				<category><![CDATA[Solr]]></category>
		<category><![CDATA[apache]]></category>
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		<category><![CDATA[full-text search]]></category>
		<category><![CDATA[IR]]></category>
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		<category><![CDATA[solr]]></category>
		<category><![CDATA[stemming]]></category>

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		<description><![CDATA[I started working recently with Apache Solr, and I am hugely impressed, the search technology is very solid and packs many IR, advance search and NLP features out of the box. In this post I will provide an overview of how to setup Keyword Stemming on a field in your Solr core. A stemming filter [&#8230;]]]></description>
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		<title>Querying the Full-Text Index in SQL Server</title>
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		<pubDate>Wed, 05 Dec 2012 07:30:45 +0000</pubDate>
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				<category><![CDATA[SQL Development]]></category>
		<category><![CDATA[SQL Server DBA]]></category>
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		<category><![CDATA[document search]]></category>
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		<category><![CDATA[full-text]]></category>
		<category><![CDATA[full-text search]]></category>
		<category><![CDATA[sql server]]></category>

		<guid isPermaLink="false">http://thinknook.com/?p=865</guid>
		<description><![CDATA[SQL Server provides Full-Text search capabilities through it&#8217;s Full-Text Index, a mature document search tool with neat features like thesaurus and stop-word integration as well as some semantic search and keyword extraction features in SQL Server 2012. The Full-Text Index is used through 2 (scalar) functions CONTAINS and FREETEXT, and 2 (table-valued) functions CONTAINSTABLE and [&#8230;]]]></description>
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