Consumer Complaint Database

Context

These are real world complaints received about financial products and services. Each complaint has been labeled with a specific product; therefore, this is a supervised text classification problem. With the aim to classify future complaints based on its content, we used different machine learning algorithms can make more accurate predictions (i.e., classify the complaint in one of the product categories)

Content

The dataset contains different information of complaints that customers have made about a multiple products and services in the financial sector, such us Credit Reports, Student Loans, Money Transfer, etc.
The date of each complaint ranges from November 2011 to May 2019.

Acknowledgements

This work is considered a U.S. Government Work. The dataset is public dataset and it was downloaded from
https://catalog.data.gov/dataset/consumer-complaint-database
on 2019, May 13.

Inspiration

This is a sort of tutorial for beginner