Title:
Data mining / Live scoring: A live acoustic algorithmic composition based on Twitter

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Drymonitis, Alexandros
Chatzopoulou, Nicoleta
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Abstract
Data Mining / Live Scoring is a live algorithmic composition for a six member acoustic ensemble. The algorithm receives feed from the popular social platform Twitter, sonifying the tweets it receives by writing a score for each of the six musicians. The concept behind this performance is to create a musical composition which can serve as a soundtrack for Twitter, depending on what is written by the users. Based on the sentiment of the tweets and a musical library written especially for this project, the algorithm attempts to create a score which reflects the mood on Twitter in an abstract way. This project was commissioned by the Onassis Cultural Centre in Athens, and was presented there twice in April 2019. It was realized for the ARTéfacts Ensemble.
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2021-06
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Proceedings
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Licensed under Creative Commons Attribution Non-Commercial 4.0 International License.