Fake News Detection Using Time Series and User Features Classification.
Maria Laura PrevitiVíctor Rodríguez-FernándezDavid CamachoVincenza CarchioloMichele MalgeriPublished in: EvoApplications (2020)
Keyphrases
- classification accuracy
- feature set
- feature vectors
- classification method
- feature extraction
- feature space
- classification models
- classification process
- false positives
- feature analysis
- feature extraction and classification
- support vector machine classifier
- mammogram images
- discriminative features
- image classification
- features extraction
- feature values
- class labels
- svm classifier
- user interface
- high dimensionality
- extracted features
- support vector machine
- text classification
- benchmark datasets
- object detection
- low level
- pattern recognition
- feature subset
- eeg signals
- textural features
- feature representation
- machine learning
- adaboost classifier
- user profiles
- detection algorithm
- image features
- end users
- social media
- support vector
- training data
- feature selection
- classification algorithm
- news stories
- support vector machine svm
- user interaction
- supervised learning
- discriminative classifiers
- news items