Pandore: automating text-processing workflows for humanities researchers
Pandore is a toolkit designed for researchers, teachers, and students in the humanities and social sciences, in particular those without advanced technical coding skills. It enables users to efficiently manage their data through intuitive graphical interfaces, allowing them to collect, prepare, convert, and analyze their data, extract relevant insights, and create interpretive visualizations. Building on extensive feedback from the previous beta version, several improvements have been implemented. This communication outlines these updates, including the resolution of identified bugs and enhancements to the graphical interface to improve user experience. We are currently exploring the feasibility of connecting the platform to the Gallica database at the French national library, with a prototype under development to facilitate enriched resource access. Interoperable and modular Python scripts have also been integrated to extend the platform's functionalities. Tutorials have been finalized to guide users in mastering the tools, and the application is being deployed on a GPU-equipped server to optimize performance for computationally intensive tasks. These advancements position Pandore as a versatile and effective tool for researchers across a diverse range of humanities and social science disciplines.
Institutions
- Sorbonne Université (FR)
- Sorbonne University Abu Dhabi (AE)
- Laboratoire Médiations (FR)
- Université Paris 1 Panthéon-Sorbonne (FR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-11
- DOI
- https://doi.org/10.5281/zenodo.16258817
- Primary Topic
- Digital Humanities and Scholarship
- Type
- article
- Field-Weighted Citation Impact
- 0.00