patent classification
**Patent Classification** using AI involves automatically categorizing patent documents into standardized classification systems like IPC (International Patent Classification) or CPC.
## What Is AI Patent Classification?
- **Task**: Assign hierarchical class codes to patent applications
- **Systems**: IPC (~70K classes), CPC (~250K classes), USPC
- **Methods**: Text classification, multi-label learning, transformers
- **Application**: Patent office triage, prior art search, portfolio analysis
## Why AI Patent Classification Matters
Patent offices receive 3+ million applications annually. AI classification accelerates examination and improves search quality.
```
Patent Classification Hierarchy:
CPC Code Example: H01L21/768
H = Section (Electricity)
01 = Class (Basic electric elements)
L = Subclass (Semiconductor devices)
21 = Main group (Processes for manufacture)
768 = Subgroup (Interconnection of layers)
```
**AI Classification Approaches**:
| Method | Description | Accuracy |
|--------|-------------|----------|
| Traditional ML | TF-IDF + SVM | ~65% |
| Deep learning | CNN/LSTM | ~75% |
| Transformers | PatentBERT | ~85% |
| Hierarchical | Multi-level attention | ~88% |
Key challenge: Extreme class imbalance and evolving technology vocabulary.