This notebook demonstrates how to train different text classifiers using Watson NLP. The classifiers predict the product group from the text of a customer complaint. This could be used, for example to route a complaint to the appropriate staff member.

The data that is used in this notebook is taken from the Consumer Complaint Database that is published by the Consumer Financial Protection Bureau (CFPB), a U.S. government agency. The Consumer Complaint Database is a collection of complaints about consumer financial products and services that the CFPB sent to companies for response. This notebook runs on the latest DO + NLP runtime environment.