How do we improve our text classification accuracy?
Good accuracy in classification starts with good feature design.
How It Works:
Enhance performance by combining pre trained embeddings, fine-tuning on domain data, balancing classes, and applying cross-validation.
Key Benefits:
- Higher precision and recall on critical categories
- Reduced misclassification costs
- Scalable to new categories with minimal effort
Real-World Use Cases:
- Legal document categorization for faster review
- Automated ticket routing in IT service desks
FAQs
What if classes are imbalanced?
How monitor drift?
.png)
.svg)
