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

• Research unit: INNOSUISSE
• Project number: 15499.2;5 PFES-ES

Short description (English)

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

Short description (French)

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

Abstract (French)

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.