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Carnegie Mellon study of Twitter sentiments yields results similar to public opinion polls

PITTSBURGH -- Computer analysis of sentiments expressed in a billion Twitter messages during 2008-2009 yielded measures of consumer confidence and of presidential job approval similar to those of well-established public opinion polls, Carnegie Mellon University researchers report. The findings suggest that analyzing the text found in streams of tweets could become a cheap, rapid means of ga

May 11, 2010