Text Analysis in 3D

3D visualization is surprisingly little used to visualize data and connections in the digital humanities, despite the fact that the 3rd dimension can provide many benefits, from decluttering plots to encoding one of the variables.

In this webinar I will present a workflow to analyze a text corpus consisting of works from multiple authors and visualize the differences between their vocabularies in 3D. I will complement it with 3D graphs to link similar texts. Throughout the webinar, I will only use open-source tools — Python and several 3rd-party Python libraries, ParaView, and VTK — and will show 3D visualizations that can easily scale to millions of texts and can work for any input language.

Led by Alex Razoumov (Simon Fraser University).

Offered by WestDRI, Simon Fraser University, and the Digital Research Alliance of Canada.