The project is coordinated around the Text Analytics Pipeline (TAP), an open source infrastructure developed initially at the University of Technology Sydney 2015-17. TAP’s services can be called via its API, demonstrated by these Jupyter Python notebooks, available as part of workshop training resources. The project will test and extend TAP, e.g. with additional language services such as the Athanor rhetorical parser.

On top of these services will be developed a set of end-user applications tuned to the needs of the different priority areas. The project launches with one application, AcaWriter, developed since 2015 in the UTS Academic Writing Analytics (AWA) project, providing automated formative feedback to students on their writing (open source). Learn more on the Resources page and menu, then jump to the demo version and give it a try…

New prototype applications for Survey Comment Analytics (WP2) and Curriculum Analytics (WP3) will be developed over the year.