Multi-class Text Classification using BERT-based Active Learning

Understand

Text Classification finds interesting applications in the pickup and delivery services industry where customers require one or more items to be picked up from a location and delivered to a certain destination.

• Classifying these customer transactions into multiple categories helps understand the market needs for different customer segments.
• Each transaction is accompanied by a text description provided by the customer to describe the products being picked up and delivered which can be used to classify the transaction.
• BERT-based models have proven to perform well in Natural Language Understanding.