Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification.
Caleb ZiemsYmir VigfussonFred MorstatterPublished in: ICWSM (2020)
Keyphrases
- classification algorithm
- classification systems
- classification scheme
- feature vectors
- decision trees
- image classification
- automatic classification
- support vector
- class imbalance
- classification accuracy
- text classification
- support vector machine
- machine learning algorithms
- pattern recognition
- imbalanced datasets
- pattern classification
- high dimensionality
- training set
- decision boundary
- classification models
- cost sensitive
- data sets
- imbalanced data sets
- infrared
- benchmark datasets
- unsupervised learning
- feature set
- supervised learning
- multi class
- feature space
- training data
- feature extraction
- feature selection