How to correctly use TF-IDF with imbalanced data

If you have been employing TF-IDF with imbalanced data while setting some hyper-parameter that limits the number of features used, then you are probably hurting your Machine Learning (ML) model’s performance by supplying an incorrect feature-set. In this article, we will show you a nifty trick that can get you back on track!