This data is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first

Content

The dataset comprises of Consumer Complaints on Financial products and we’ll see how to classify consumer complaints text into these categories: Debt collection, Consumer Loan, Mortgage, Credit card, Credit reporting, Student loan, Bank account or service, Payday loan, Money transfers, Other financial service, Prepaid card. Also we will try to identify the companies from the dataset

Acknowledgements

The source of data is : https://cfpb.github.io/api/ccdb/

Inspiration

1. Supervised Problems

   a. Predict product and issue using the complaints text
   b. Using data predict complaints which will not be resolved

2. Unsupervised Problems

   a.Extract Company names from textual data
   b. Normalize company names so that Cap One , Capital One etc have same name

   c. Understand the topic of complaint using textutal data which will help in better organizing complaints in future