Converting Twitter emotions into art with a Raspberry Pi

A few of the Raspberry Pi Creative Technologists attended the Art Hackathon in Greenwich on 16th-17th May and got together with some others to create a lovely art project. The project takes a Twitter feed, analyses the tweets for keywords and assigns emotions to them. The amount of each emotion is then rendered on a web page. Wavy strips of clear plastic were then mounted on top of the screen (an HDMIPi) to give the rendering a 3D ‘feel’. Audio was also keyed to the emotional readings and the volume of different sound tracks altered according to how much a particular emotion was being expressed through Twitter. Yasmin Curren has written up her experience of the Hackathon on the Foundation’s blog. You can follow Yasmin on Twitter and read her blog here. You can see a video of their project, called Emoti, below. Code for the project is available on Github.

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