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	<title>Comments on: How to Analyse Sentiment and Benefit from the Insight it Provides</title>
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	<link>http://oursocialtimes.com/index.php/2010/03/how-to-analyse-sentiment-and-benefit-from-the-insight-it-provides/</link>
	<description>Social Media Consultancy &#38; Events</description>
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		<title>By: The Key Issues in Social Media Monitoring Today &#171; The Cube</title>
		<link>http://oursocialtimes.com/index.php/2010/03/how-to-analyse-sentiment-and-benefit-from-the-insight-it-provides/comment-page-1/#comment-626</link>
		<dc:creator>The Key Issues in Social Media Monitoring Today &#171; The Cube</dc:creator>
		<pubDate>Tue, 16 Nov 2010 15:37:21 +0000</pubDate>
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		<description>[...] Sentiment detection is one of the most interesting aspects of social media monitoring. Using a combination of machine learning and natural language processing, brands can now track positive and negative mentions to around 70% accuracy. Be aware though, that these tools require teaching – you can’t get those results from a “black box” solution. Equally, with sentiment context is king; what’s positive for your product team may be inconsequential to your marketing department. [...]</description>
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