Publication details

Maximising the Power of Semantic Textual Data : CASTEMO Data Collection and the InkVisitor Application

Investor logo

ZBÍRAL David MERTEL Adam SHAW Robert Laurence John

Year of publication 2022
Type Appeared in Conference without Proceedings
MU Faculty or unit

Faculty of Arts

Description In this paper, we present Computer-Assisted Semantic Text Modelling (CASTEMO), a novel approach to transformation of textual resources into deeply structured data stored in JSON-based document databases. We also present the InkVisitor application which assists this data collection workflow and helps validate the data. Both the workflow and the application were developed within the Dissident Networks Project (DISSINET,
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info