Resampling imbalanced data to detect fake reviews using machine learning classifiers and textual-based features.
Gregorius Satia BudhiRaymond ChiongZuli WangPublished in: Multim. Tools Appl. (2021)
Keyphrases
- imbalanced data
- machine learning
- feature set
- classification models
- svm classifier
- feature selection
- decision trees
- ensemble classifier
- machine learning algorithms
- support vector machine
- feature extraction
- feature vectors
- machine learning methods
- imbalanced data sets
- random forest
- feature space
- feature subset
- minority class
- ensemble learning
- linear regression
- class labels
- training set
- supervised learning
- classification accuracy
- high dimensionality
- ensemble methods
- support vector
- feature selection algorithms
- training data
- kernel function
- active learning