Understanding Shakespeare


Exploring visual forms for dramatic texts and language.

Commissioned by

FH Potsdam / Bachelor Thesis

Scope of Work

  • Data Visualization

Website Credits

In this project we proposed five exper­i­mental approaches to the analysis and visu­al­isa­tion of Shakespeare’s dramatic works. Motivated by our r software-driven inform­a­tion retrieval processes and compu­ta­tional inform­a­tion design, we examined several ways to algorith­mic­ally search dramatic texts for narrative patterns and visu­alise these results as large scale prints. Our project proposed visu­al­isa­tion prin­ciples for literary works aimed at scholars in the humanities and audi­ences with a general interest in liter­ature. Our project also examined ways for educators, through visu­al­isa­tions and analytics, to spark fascin­a­tion and under­standing of literary texts.
We currently explore this field further in collab­or­a­tion with researchers from Swansea University in South Wales. The project is based on data from the WordHoard project from Northwestern University.

Grouping all sentences of a character which start with a personal pronoun.
Romeo and Juliet, as summarized by an algorithm which picks the sentence with the most most-frequent words.


Studio NAND

Credits & References

Studio NAND

WordHoard Martin Müller et al., Northwestern UniversityThanks to Boris Müller, Matthias Krohn, Sven Rösch

References WordHoard-Project