R: Text classification using SMOTE and SVM

SMOTE algorithm is “an over-sampling approach in which the minority class is over-sampled by creating ‘synthetic’ examples rather than by over-sampling with replacement”. It is a technique used to resolve class imbalance in training data. SVM (Support Vector Machine) is a machine learning algorithm. As Wikipedia describes it “a support vector machine constructs a hyperplane… Continue reading R: Text classification using SMOTE and SVM