This project is now part of Language Data Commons of Australia (LDaCA).

Text analytics is a suite of methods which enable data-driven research by extracting and analysing machine-readable information from within unstructured text. Due to the increasing availability of large amounts of unstructured text, such techniques are becoming more and more important across diverse research disciplines.

The Australian Text Analytics Platform is an open source, collaborative cloud-based workbench that provides researchers in the humanities and social sciences with tools and training for analysing, processing, and exploring text. The platform will be accessible to researchers with a broad range of experience and skills (including beginners) and across a range of disciplines. Support provided by the platform will include hands-on workshops, online training modules, as well as advice and collaboration in selected partnerships.

ATAP includes the Language Technology and Data Analysis Laboratory (LADAL), a school-based collaborative support infrastructure for digital and computational humanities established in 2019.

For further information, please see the ATAP website:

Click here to view a full list of project team members at UQ.

Project members

Professor Michael Haugh

Applied Linguistics Program
School of Languages and Cultures

Dr Martin Schweinberger

Applied Linguistics Program
Lecturer in Applied Linguistics
School of Languages and Cultures

Dr Sam Hames

Research Fellow (Computational Humanities)
School of Languages and Cultures