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Understanding Shakespeare [Processing]

B.A. thesis project of Stephan Thiel at the Interfacedesign program of the University of Applied Sciences Potsdam, Understanding Shakespeare is an attempt to create a new visual understanding of the work by analysing most frequently used words for each character. Using Processing, a scene is represented by a block of text and scaled relatively according to its number of words. Characters are ordered by appearance from left to right throughout the play. The major character’s speeches are highlighted to illustrate their amounts of spoken words as compared to the rest of the play.

The visualizations were designed as large scale prints (90cm x ~220cm) for an exhibition scenario that would enable a broad audience tore-understand Shakespeare. They were created using mainly Processing and toxiclibs (for geometry and color calculations) as well as several other Natural Language Processing libraries (i.e. Classifier4J).

See more at understanding-shakespeare.com

..also The Preservation of Favoured Traces [Processing]

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