Support Ticket Classification

Project Overview

This project introduces Natural Language Processing (NLP) and Large Language Models (LLMs) through the practical application of automatically classifying support tickets. We'll use zero-shot classification to categorize tickets without traditional training data.

Key Learning Objectives

• Understanding zero-shot classification
• Working with Hugging Face Transformers
• Text preprocessing for NLP
• Implementing multilabel classification
• Evaluating NLP model performance

Technologies Used

• Python
• Hugging Face Transformers
• PyTorch
• NLTK for text preprocessing
• pandas for data management

Additional Resources

For detailed implementation guide, code examples, and step-by-step instructions, please visit the GitHub Project Repository.