"Don't discuss": Investigating Semantic and Argumentative Features for Supervised Propagandist Message Detection and Classification.
Vorakit VorakitphanElena CabrioSerena VillataPublished in: RANLP (2021)
Keyphrases
- feature extraction
- classification accuracy
- feature set
- feature vectors
- feature space
- feature selection
- supervised classification
- support vector machine classifier
- features extraction
- classification process
- supervised classifiers
- svm classifier
- classification method
- classification models
- feature extraction and classification
- class labels
- mammogram images
- extracted features
- extracting features
- false positives
- feature representation
- benchmark datasets
- supervised learning
- adaboost classifier
- feature analysis
- unsupervised learning
- feature values
- pattern recognition
- feature subset
- selecting a small number
- discriminative classifiers
- machine learning
- decision trees
- support vector
- high dimensionality
- learning algorithm
- detection method
- feature selection algorithms
- support vector machine svm
- high level
- supervised training
- training data
- support vector machine
- training set
- low level
- digital mammograms
- natural language
- unsupervised methods
- textural features
- discriminative features
- object detection
- image classification
- weak classifiers
- text classification
- semantic web
- machine learning algorithms