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financial-service-classifier's Introduction

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:

  1. Natural Language Processing is Fun! How computers understand Human Language.
  2. Improving Uber Customer Care with NLP & Machine Learning.
  3. Support Ticket Classification using TF-IDF Vectorization.

Data used for training: Automatic Ticket Classification

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