Patent Text

Patent text analysis focuses on extracting valuable information from patent documents to improve innovation management and intellectual property protection. Current research heavily utilizes large language models (LLMs), such as BERT and GPT variants, often enhanced with graph neural networks or other techniques like prompt engineering, to automate tasks like patent classification, similarity assessment, and claim generation. This automated analysis significantly improves efficiency in patent searching, portfolio management, and competitive intelligence gathering, impacting both research and industry practices.