Augmenting the Metadata of Audiovisual Archives with NLP Techniques: Challenges and Solutions
This paper sets out to highlight and address the challenges in working with large audiovisual archives such as the Radio Télévision Suisse collection. The goal of this research is to augment the metadata through Natural Language Processing methods to facilitate access to the archive for the larger public.
Resource information
- Authors
- Alliata, Giacomo, Yang, Yuchen, Kenderdine, Sarah
- Research area
- Artificial intelligence
- Research topics
- Paper, Short Presentation, Audiovisual Archives; Computational Augmentation; Natural Language Processing; Experimental Museolog, artificial intelligence and machine learning, natural language processing, semantic analysis, Computer science, Galleries and museum studies
- Publication date
- 2023
- DOI
- 10.5281/zenodo.8107649
- Upstream last modified
- Jul 5, 2023
- License
- Creative Commons Attribution 4.0 International
- Last record update
- Nov 4, 2026