Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic.
Martin MüllerMarcel SalathéPublished in: CoRR (2020)
Keyphrases
- concept drift
- machine learning
- public health
- data streams
- streaming data
- non stationary
- drift detection
- sentiment analysis
- change detection
- classification algorithm
- drifting concepts
- data distribution
- incremental clustering
- data stream classification
- novelty detection
- data stream mining
- pattern recognition
- evolving data streams
- machine learning methods
- data mining
- support vector machine
- batch learning
- reinforcement learning
- decision trees
- text mining
- machine learning algorithms
- feature selection
- small number
- nearest neighbor
- natural language processing
- text classification
- supervised learning
- information extraction
- concept descriptions
- active learning
- k nearest neighbor
- text categorization
- prediction accuracy
- index structure
- neural network