Novel, optimized machine learning methods for automated analysis of journalistic content.

• Unité de recherche: INNOSUISSE
• Numéro de projet: 15499.2;5 PFES-ES
• Titre du projet anglais: Novel, optimized machine learning methods for automated analysis of journalistic content.

Description succincte (Anglais)

Novel, optimized machine learning methods for automated analysis of journalistic content.

Description succincte (Français)

Novel, optimized machine learning methods for automated analysis of journalistic content.

Résumé des résultats (Abstract) (Français)

The project addresses data analysis needs of Presspectrum Techologies GmbH ('Presspectrum'), namely, to enhance analysis of journalistic content with intelligent, automated decision making and adaptation capabilities. The research activities are concerned with A. design and implementation of machine learning methods for automatically determining various properties of journalistic articles; B. data collection and labeling; C. optimization and integration into a production system.