I want to build a text classification system that can automatically categorize customer support tickets into predefined categories (billing, technical, account, product). The system should:
- Accept text input from customer tickets
- Process and clean the text data
- Classify the ticket into one of the predefined categories
- Return confidence scores for the classification
Requirements:
- Use Python and relevant ML libraries
- Handle common text preprocessing tasks
- Support at least 4 categories
- Include sample training data format
- Provide evaluation metrics
What would be the best approach to implement this system, and what specific techniques should I use for optimal classification accuracy?