Report on Feature Selection for Emotion Estimation using Machine Learning.
Ryo SenumaSho YokotaAkihiro MatsumotoDaisuke ChugoSatoshi MuramatsuHiroshi HashimotoPublished in: ICIT (2024)
Keyphrases
- feature selection
- machine learning
- text classification
- mutual information
- support vector machine
- text categorization
- pattern recognition
- artificial intelligence
- decision trees
- classification accuracy
- support vector
- machine learning methods
- natural language processing
- feature set
- feature generation
- unsupervised learning
- feature selection algorithms
- parameter estimation
- learning tasks
- high dimensionality
- data mining
- explanation based learning
- accurate estimation
- feature construction
- unsupervised feature selection
- learning algorithm
- knowledge representation
- model selection
- multi task
- feature engineering
- neural network
- virtual agents
- computer vision
- feature ranking
- reinforcement learning
- computer science
- feature space
- estimation error
- classification models
- active learning
- knowledge discovery
- transfer learning
- learning systems
- machine learning algorithms
- information extraction
- dimensionality reduction