US Consumer Finance Complaints Classification with NLP

The Consumer Financial Protection Bureau publish thousands of consumers’ complaints about financial products and services to companies for response on weekly basis. The goal of this NLP project is to build a model that can accurately classify those consumer complaints into the product category they belong to using the content of the complaint. The data is sourced from kaggle.

• Use cases, geography and tags
• Organizations that created, adopted or are mentioned
• Ecosystem position
• Link to the original asset
• Comments and reactions