Visual Text Analytics for Digital Humanities
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README.md

ViTA Visual Text Analytics for Digital Humanities

ViTA is web-based a tool to visualize the contents of literature, especially novels. It parses ebooks, extracts data about characters, places or the text in general and is able to automatically generate different interactive visualizations that allow exploration of the text.

Try it out!

If you are missing a book that is public domain (e.g. the author died more than 70 years ago), feel free to provide us an ePub file so that we can add it.

About us

We are 10 software engineering students of the University of Stuttgart and developed ViTA in a project supervised by the VIS institute.

Developers: Sanjeev Balakrishnan, Felix Do, Sebastian Frank, Paul Kuznecov, Vincent Link, Eduard Marbach, Jan Melcher, Christian Richter, Marc Weise and Marvin Wyrich.

Tutors: Dr.-Ing. Steffen Lohmann, Dr. Steffen Koch, Dr.-Ing. Michael Wörner, Markus John M.Sc.

Technologies

  • Back-end: JavaEE with Hibernate and Jersey
  • Front-end: AngularJS, D3
  • Supported eBook formats: ePub2, ePub3, plain text (with chapter annotations)