All projects
PIDIMEHS
Pillarization and depillarization tested in digitized media historical sources
- Text analysis & natural language processing
PuReGoMe
Understanding Dutch public sentiment during the COVID-19 outbreak period by analyzing real-time...
- COVID-19
- Machine learning
- Text analysis & natural language processing
TeSoPs
Technologically and socially feasible transition pathways for local energy system integration
- Data Analysis
- Optimized data handling
From Sentiment Mining to Mining Embodied Emotions
Emotional styles on the Dutch stage between 1600-1800
- Text analysis & natural language processing
BiographyNet
Extracting relations between people and events
- Text analysis & natural language processing
Different kinds of laughter
A machine learning approach
- Audio processing
- Machine learning
Visualizing Uncertainty and Perspectives
Strengthening the methodology of digital humanities
- Visualization
Bridging the gap
Digital humanities and the Arabic-Islamic corpus
- Text analysis & natural language processing
NEWSGAC
Advancing media history by transparent automatic genre classification
- Machine learning
- Text analysis & natural language processing
Texcavator
Facilitating and supporting large-scale text mining in the field of digital humanities
- Text analysis & natural language processing
AI-aided screening process
One-click deployment for running simulations in the cloud mimicking an AI-aided screening process
- Text analysis & natural language processing
DiLiPaD
A new approach to the history of parliamentary communication and discourse
- Text analysis & natural language processing