SoftwareApplication
name: NEWSGAC platform
description: Software for running the online platform of the NEWSGAC project for running explainable machine learning models on textual data
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.
code repository: https://github.com/newsgac/platform
author: 0000-0002-8431-081X
author: https://orcid.org/0000-0002-6225-9953
author: https://orcid.org/0000-0001-9411-2107
keywords: Machine learning
keywords: Text analysis & natural language processing
keywords: Explainable AI
programming language: CSS
programming language: Dockerfile
programming language: HTML
programming language: JavaScript
programming language: Jupyter Notebook
programming language: Python
programming language: Shell
license:
  creative work: creativeWork
    name: Apache-2.0
reference publication: escience.2018.00137

0000-0002-8431-081X
type: Person
given name: Erik
family name: Tjong Kim Sang
name: Erik Tjong Kim Sang
role name: Research Software Engineer
affiliation: Organization
  name: Netherlands eScience Center

https://orcid.org/0000-0002-6225-9953
type: Person
given name: Aysenur
family name: Bilgin
name: Aysenur Bilgin

https://orcid.org/0000-0001-9411-2107
type: Person
given name: Tom
family name: Klaver
name: Tom Klaver

escience.2018.00137
type: ScholarlyArticle
name: Utilizing a Transparency-Driven Environment Toward Trusted Automatic Genre Classification: A Case Study in Journalism History
pagination: 486-496
url: https://doi.org/10.1109%2Fescience.2018.00137