EmAP-ML: A Protocol of Emotions and Behaviors Annotation for Machine Learning Labels.
Felipe de MoraisTiago Roberto KautzmannIg Ibert BittencourtPatrícia Augustin JaquesPublished in: EC-TEL (2019)
Keyphrases
- natural language
- machine learning
- active learning
- annotation effort
- weakly labeled
- maximum likelihood
- information extraction
- feature engineering
- semantic labels
- automatic image annotation
- pattern recognition
- machine learning methods
- lightweight
- affective states
- semantic annotation
- labeling process
- embodied conversational agents
- multi label
- machine learning algorithms
- data mining
- text mining
- training data
- computer science
- computational intelligence
- learning algorithm
- artificial intelligence
- metadata
- affective computing
- personality traits
- reinforcement learning
- multi label classification
- formal analysis
- image annotation
- class labels
- knowledge acquisition
- pairwise
- text classification
- supervised learning
- learning tasks
- data analysis
- decision trees
- support vector machine
- semi supervised learning
- tcp ip
- computer vision
- digital libraries
- communication protocol
- training set
- human behavior
- computational models