Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?
Yang JiangNigel BoschRyan S. BakerLuc PaquetteJaclyn OcumpaughJuliana Ma. Alexandra L. AndresAllison L. MooreGautam BiswasPublished in: AIED (1) (2018)
Keyphrases
- feature engineering
- neural network
- affect detection
- dependency parsing
- text classification
- machine learning
- open ended
- labeled data
- natural language processing
- pattern recognition
- sensor data
- expert knowledge
- domain experts
- mental states
- speech processing
- physiological data
- semi supervised
- intelligent agents
- error rate
- active learning
- text mining
- decision trees
- text input
- artificial intelligence