Patent Indicator

Patent indicators are quantitative measures derived from patent data used to analyze and predict various aspects of technology and innovation. Current research focuses on leveraging machine learning, particularly calibrated models and graph-based approaches, to improve the accuracy of technology valuation and patent approval prediction, often using natural language processing techniques to analyze patent text. These advancements aim to enhance efficiency and accuracy in patent analysis, benefiting researchers studying innovation and practitioners involved in patent examination and litigation.