Zero Shot Patent Classifier

What is Zero Shot Patent Classifier ?

Zero Shot Patent Classifier is an advanced AI-powered tool designed for automated classification of patent abstracts into specific subsectors. It leverages cutting-edge zero-shot learning technology to categorize patents without requiring prior training data or examples. This makes it highly efficient and adaptable for users who need quick and accurate classifications.

Features

• Zero-Shot Learning: Eliminates the need for labeled training data, enabling classification directly from patent abstracts.
• High Accuracy: Delivers precise categorization of patents into relevant subsectors.
• Multi-Language Support: Capable of processing patent abstracts in multiple languages.
• Batch Processing: Classify multiple patent abstracts simultaneously for increased efficiency.
• API Integration: Easily integrate with existing systems and workflows.

How to use Zero Shot Patent Classifier ?

1. Prepare the Patent Abstract: Ensure the abstract is clear, concise, and in a supported language.
2. Submit to API: Send the abstract to the Zero Shot Patent Classifier API endpoint.
3. Receive Classification: Get a categorized result with the relevant subsector(s).
4. Optional: Provide Feedback: If needed, refine the classification by offering additional context or corrections.

Frequently Asked Questions

What is zero-shot learning?
Zero-shot learning allows the model to classify inputs without prior examples, making it highly versatile for new or unseen data.

Do I need labeled data for training?
No, Zero Shot Patent Classifier does not require labeled training data to function effectively.

Can it handle non-English patent abstracts?
Yes, the tool supports multiple languages, enabling global patent classification.