I need to build a text classification model.
I have a labeled training set and my goal is to classify the new unlabeled text .
My training set is composed on 6 categories, that are imbalanced.
The categories are distributed as follows: Category 1 -> 450 examples Category 2 -> 400 examples Category 3 -> 250 examples Category 4 -> 150 examples Category 5 -> 100 examples Category 6 -> 50 examples
How to deal with such imbalanced multi class text classification?