Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets.
Yunpeng ZhaoMattia C. F. ProsperiTianchen LyuYi GuoLe ZhouJiang BianPublished in: IEA/AIE (2020)
Keyphrases
- active learning
- pattern classification
- supervised learning
- classification accuracy
- batch mode active learning
- pattern recognition
- model selection
- image classification
- social media
- training set
- selective sampling
- feature selection
- feature vectors
- cost sensitive
- support vector machine
- semi supervised
- machine learning
- class imbalance
- event detection
- classification algorithm
- imbalanced data classification
- training samples
- text classification
- support vector
- feature extraction
- learning strategies
- class labels
- text mining
- news articles
- relevance feedback
- feature space
- decision boundary
- social media data
- annotation effort
- decision trees
- learning algorithm