Software for running the online platform of the NEWSGAC project for running explainable machine learning models on textual data
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.
Text analysis & natural language processing
Utilizing a Transparency-Driven Environment Toward Trusted Automatic Genre Classification: A Case Study in Journalism History