A team led by a computer scientist at Carnegie Mellon University has used text-analysis software to detect tweets pertaining to various issues ó such as whether President Barack Obama is doing a good job ó and measure the frequency of positive or negative words ranging from 'awesome' to 'sucks.' The results were surprisingly similar to traditional surveys. For example, the ratio of Twitter posts expressing either positive or negative sentiments about President Obama produced a 'job approval rating' that closely tracked the big Gallup daily poll across 2009. The analysis also produced classic economic indicators like consumer confidence."
Of deze resultaten ook in Nederland/Vlaanderen gevonden zouden worden, is natuurlijk zeer de vraag...
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