A detailed case study of customer complaints in a firm and training multiple machine learning modes. The goal is to use machine learning approaches to anticipate and evaluate customer complaint data.
Classify consumer complaints into predefined categories.
Support Vector Machine (SVM) and Decision Tree.
- Date received: Date of complaint received
- Product: Product about which complaint was registered
- Sub-product: Sub-product about which complaint was registered
- Issue: Issue about which complaint was registered - high level
- Consumer complaint narrative: Text of the complaint
- Company public response
- Company: Company Name against which complaint was registered
- State: State of the complaint
- ZIP code: Zip Code of the complaint
- Tags
- Consumer consent provided?
- Submitted via
- Date sent to the company
- Company response to consumer
- Timely response?
- Consumer disputed?
- Complaint ID