pydistinto
a Python implementation of different measures of distinctiveness for contrastive text analysis
Project Management: Prof Dr Christof Schöch (Universität Trier - Computerlinguistik & Digital HumanitiesUniversität Trier - Trier Center for Digital Humanities (TCDH)) · Universität Trier - Trier Center for Digital Humanities (TCDH)
Sponsors: Deutsche Forschungsgemeinschaft (DFG)
Running time: -
Contact person (TCDH): Prof Dr Christof Schöch
References:
pydistinto. Lead & development: Christof Schöch, Keli Du. Trier: Zeta and company, 2021-2023. URL: https://github.com/Zeta-and-Company/pydistinto (Vormals pyzeta).
Research Area: Digital Literary and Cultural Studies
Keywords: Digital Technologies and Tools, Text Mining
Technologies:
Website of the Project: github
As part of the project "Zeta und Konsorten", the tool "pydistinto" could be developed and presented at various professional conferences. The team is developing the research-oriented tool, written in Python, to facilitate the use and evaluation of relevant measures for contrastive text analysis. The goal of our project is to gain a deeper qualitative and statistical understanding of the various distinctiveness measures and to propose improvements for their implementation and use. The tool renews the pyzeta code base from a previous project.
Related projects: Zeta and Company
Team TCDH
Dr. Keli Du
E-mail: duk
uni-trier [dot] de
Phone: +49 651 201-3377
Iuliia Dudar
E-mail: dudaruni-trier [dot] de
Phone:
Prof Dr Christof Schöch
E-mail: schoechuni-trier [dot] de
Phone: +49 651 201-3264
Topics
Computational Literary Studies
Whoever wants to use text and data resources efficiently today, especially in the humanities, needs innovative methods and tools.
Developing Software Systems
The software systems we develop together with humanities and cultural scholars are ergonomic and goal-oriented solutions to support individual and dynamic research projects effectively.
Methods of Text Analysis
Implementing Quantitative Analysis Methods from a Scientific Perspective
Software Systems and Research Infrastructure
In an interdisciplinary dialog, we develop suitable software solutions for research in the humanities.