Unsupervised learning of fundamental emotional states via word embeddings.
Mirko MazzoleniGabriele MaroniFabio PrevidiPublished in: SSCI (2017)
Keyphrases
- unsupervised learning
- emotional state
- dimensionality reduction
- emotion recognition
- supervised learning
- emotion classification
- physiological signals
- lexical features
- co occurrence
- n gram
- facial expressions
- low dimensional
- vector space
- expectation maximization
- human decision making
- word sense disambiguation
- semi supervised
- high dimensional
- object recognition
- machine learning
- deep architectures
- mental representations
- natural language text
- information fusion
- model selection
- natural language
- pattern recognition