An Ensemble Machine Learning Classifier for Profiling Irony and Stereotype Spreaders on Twitter.
Zengyao LiZhongyuan HanMingjie HuangLeilei KongPublished in: CLEF (Working Notes) (2022)
Keyphrases
- machine learning
- feature selection
- learning algorithm
- ensemble learning
- multiple classifiers
- multiple classifier systems
- training data
- decision trees
- ensemble classifier
- classifier ensemble
- final classification
- training set
- decision tree classifiers
- feature ranking
- social media
- individual classifiers
- weak learners
- support vector machine
- combining classifiers
- ensemble methods
- training samples
- machine learning methods
- feature space
- pattern recognition
- classification algorithm
- learning classifier systems
- multi class
- majority voting
- information extraction
- neural network
- random forest
- test data
- active learning
- classification method
- support vector
- machine learning algorithms
- pruning algorithm
- micro blogging
- accurate classifiers
- binary classification problems
- classifier combination
- data mining
- random forests
- feature subset
- social networking
- online social networks
- training examples
- feature set
- natural language processing
- supervised learning
- social networks
- inductive logic programming
- class labels
- prediction accuracy
- text classification
- text mining
- bias variance decomposition