FAIR text analytics for every researcher: from a browser tab to your desktop
Presented at eResearch Australasia 2026, this poster introduces LDaCA Wordflow, an open-source, code-free text analytics tool designed to make computational text analysis accessible to researchers without programming experience. It highlights Wordflow’s analytical capabilities, including generative AI-assisted qualitative coding, and explores how the tool supports the FAIR (Findable, Accessible, Interoperable and Reusable) principles through flexible deployment options, reproducible workflows and interoperable data formats. The poster also showcases Wordflow’s integration within the Language Data Commons of Australia (LDaCA) ecosystem and its growing research community.
Authors
- Alex Guo
- Chao Sun
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-03
- DOI
- https://doi.org/10.5281/zenodo.23908022
- Primary Topic
- Computational and Text Analysis Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00