An Ensemble-Based Multi-Classification Machine Learning Classifiers Approach to Detect Multiple Classes of Cyberbullying.
Abdulkarim Faraj AlqahtaniMohammad IlyasPublished in: Mach. Learn. Knowl. Extr. (2024)
Keyphrases
- multiple classes
- machine learning
- multi class
- machine learning methods
- machine learning algorithms
- multiple classifier systems
- decision trees
- feature selection
- final classification
- training set
- ensemble classifier
- multi label classification
- support vector machine
- single class
- accurate classifiers
- training data
- multiple classifiers
- classifier ensemble
- binary classifiers
- classification accuracy
- support vector
- base classifiers
- svm classifier
- individual classifiers
- majority voting
- classifier combination
- classification algorithm
- classification models
- learning algorithm
- combining classifiers
- ensemble learning
- ensemble methods
- supervised learning
- data mining
- text classification
- multi label
- support vector machine svm
- feature set
- feature ranking
- class labels
- binary classification
- weak classifiers
- image classification
- learning tasks
- learning problems
- training samples
- semi supervised learning
- feature extraction
- multi class classification
- kernel methods
- training examples
- feature space