Utilizing a transparency-driven environment toward trusted automatic genre classification: A case study in journalism history

2018-10-01

Additional Metadata
Project	News Genres: Advancing Media History by Transparent Automatic Genre Classification
Organisation	Human-centered Data Analysis
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Bilgin, A, Hollink, L, van Ossenbruggen, J.R, Tjong Kim Sang, E, Smeenk, K, Harbers, F, & Broersma, M. (2018). Utilizing a transparency-driven environment toward trusted automatic genre classification: A case study in journalism history.

See Also
inProceedings Utilizing a transparency-driven environment toward trusted automatic genre classification: A case study in journalism history A. Bilgin (Aysenur), L. Hollink (Laura), J.R. van Ossenbruggen (Jacco), E. Tjong Kim Sang (Erik), K. Smeenk (Kim), F. Harbers (Frank) and M. Broersma (Marcel)
presentation Towards Transparent Linguistic Analysis of Dutch Newspaper Article Genres using Machine Learning A. Bilgin (Aysenur), E. Tjong Kim Sang (Erik), K. Smeenk (Kim), T. Klaver (Tom), L. Hollink (Laura), J.R. van Ossenbruggen (Jacco), F. Harbers (Frank) and M. Broersma (Marcel)

Publication