Classify Text with a Fine-Tuned Transformer

Scenario

You are working on an NLP project where short customer or internal text messages need to be assigned to a fixed set of labels. The data is noisy, the classes are imbalanced, and the labels come from historical human review. You implemented an NLP algorithm for this task and want to walk through the design choices you made.

Question

Describe a project in which you implemented an NLP algorithm.