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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.
• 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.
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.