Text Classification with Extremely Small Datasets

After implementing these we can choose to expand the feature space with polynomial (eg X²) or interaction features (eg XY) by using sklearn's PolynomialFeatures() Note: The choice of feature scaling technique made quite a big difference to the performance of the classifier, I tried RobustScaler, StandardScaler, Normalizer and MinMaxScaler and found that MinMaxScaler worked the best.