- Introduction to the course: overview on emotion oriented systems
- Emotions: concepts, definitions and models: from psychological theories to
computational models 
- Linguistic and semantic resources: datasets, sentiment lexicons (multilingualism),
ontologies; collecting and labelling methodologies; available benchmarks and
standards.
- Application I: Emotions in interaction: emotions in virtual agents; practical
architectures for emotion generation and expression
- Application II: Emotion detection and sentiment analysis in social media:
state-of-the-art methodologies, application domains