A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features.
Olga PapadopoulouMarkos ZampoglouSymeon PapadopoulosIoannis KompatsiarisPublished in: CoRR (2017)
Keyphrases
- feature vectors
- feature set
- classification accuracy
- feature extraction
- classification method
- classification models
- classification process
- feature space
- benchmark datasets
- low level
- text classification
- extracting features
- image features
- svm classifier
- gender classification
- features extraction
- textual features
- class labels
- support vector machine svm
- support vector
- svm classification
- discriminative features
- feature representation
- automatic classification
- pattern classification
- co occurrence
- image classification
- high dimensionality
- supervised learning
- gabor filters
- decision trees
- model selection
- pattern recognition
- multimedia
- textural features
- machine learning algorithms
- social media
- eeg signals
- classification rate
- feature selection
- extracted features
- feature selection algorithms
- support vector machine
- classification algorithm