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NEWSGAC platform

Software for running the online platform of the NEWSGAC project for running explainable machine learning models on textual data

2
mentions
3
contributors

Description

NEWSGAC was a research project which aimed at transparent automatic classification of genres of newspaper articles. The project was a cooperation between the University of Groningen, the Amsterdam Center for Mathematics and Computer Science and the Netherlands eScience Center.

In the project, we developed an online platform for applying machine learning models to text data, with the opportunity to closely analyze the performance of the models.

Keywords
Explainable AI
Machine learning
Text analysis & natural language processing
Programming languages
License
</>Source code
Packages

Participating organisations

Centrum Wiskunde & Informatica
University of Groningen
Netherlands eScience Center
Social Sciences & Humanities
Social Sciences & Humanities

Reference papers

Mentions

Contributors

Contact person

Erik Tjong Kim Sang
Erik Tjong Kim Sang
Research Software Engineer
Netherlands eScience Center
AB

Related projects

NEWSGAC

Advancing media history by transparent automatic genre classification

Updated 31 months ago
Finished