Course outline:

1. Core Sentiment Analysis (SA)
   • SA types and uses
   • Simple SA (using lexica)
   • Aspect-based SA (using Information Extraction)
   • Variations and complications
2. Machine learning for SA
   • Unsupervised learning: LDA and open language SA
   • Supervised learning: regression, deep learning
3. SA extensions
   • Person sentiment
   • Community sentiment
   • Cross-lingual and multimedia sentiment