This project uses machine learning to classify support tickets for a financial service.
The model is trained on a dataset of support tickets, each with a label indicating the type of issue the ticket represents (such as an "bank account services" or "Mortgages/loans").
Given a new support ticket, the model is able to predict the correct label, allowing the service desk to efficiently route the ticket to the appropriate team for resolution.
I used following sources as an inspiration:
- Natural Language Processing is Fun! How computers understand Human Language.
- Improving Uber Customer Care with NLP & Machine Learning.
- Support Ticket Classification using TF-IDF Vectorization.
Data used for training: Automatic Ticket Classification