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.