IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning.
Maximilian KöperEvgeny KimRoman KlingerPublished in: WASSA@EMNLP (2017)
Keyphrases
- deep learning
- unsupervised learning
- affective computing
- unsupervised feature learning
- human emotion
- machine learning
- affective states
- e learning
- data sets
- facial expressions
- mental models
- emotional state
- emotion recognition
- computer vision
- natural language processing
- higher order
- object recognition
- automatic extraction
- pattern recognition
- deep architectures