Focusing on the specific case of cinema owner and film distributor Jean Desmet’s digitised business archive, this article discusses how computational approaches may facilitate the  archive’s unlocking for researchers in the Dutch national research infrastructure – CLARIAH –Media Suite. To this end, the article considers previous computational approaches to film- related sources in New Cinema History research in a historical perspective, suggesting a novel approach which combines text mining and visual classification. The article argues that such a combination is necessary to yield results which reflect the archive’s material heterogeneity and complexity, and that it offers a new direction for computational approaches in New Cinema History and their conceptualisations of film-related materials as historical sources.

Additional Metadata
Keywords New Cinema History, digital humanities, Jean Desmet, CLARIAH Media Suite, quantitative history
Publisher Netherlands Institute for Sound and Vision
Persistent URL dx.doi.org/10.18146/2213-7653.2018.370
Journal Tijdschrift voor Mediageschiedenis
Rights Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
Note TMG Journal for Media History; Vol 21, No 2 (2018): Big Data Histories; 127-145
Citation
Olesen, Christian Gosvig, & Kisjes, Ivan. (2018). From Text Mining to Visual Classification: Rethinking Computational New Cinema History with Jean Desmet’s Digitised Business Archive. Tijdschrift voor Mediageschiedenis, 21(2), 127–145. doi:10.18146/2213-7653.2018.370