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 and online office hours, as well as advice and collaboration in selected partnerships.

The project is a collaboration between researchers and eResearch professionals at the University of Queensland, University of Sydney and AARNet.

For further information, please see the ATAP website: https://www.atap.edu.au/

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

Project members

Professor Michael Haugh

Applied Linguistics Discipline
School of Languages and Cultures

Dr Martin Schweinberger

Lecturer in Applied Linguistics
School of Languages and Cultures

Dr Sam Hames

Research Fellow (Computational Huma
School of Languages and Cultures