Advancements in Intellectual Property Technology Forecasting and Trends

Predicting future innovation at the company level based on big data and predictive analysis using machine learning techniques that explore the usefulness of company financial data, newspaper articles, social media data, and patent indicators.

Diagnosing and predicting the science and technology capabilities of countries and companies using patent and research paper data. The method involves collecting patent and paper data for a technology, calculating variables from the data for each country or company, generating diagnosis models using machine learning, and using the models to diagnose and predict technology strengths and weaknesses.

Analyzing research literature to provide insights and reports for strategic decision-making. It involves indexing patent and research documents, determining topics, finding common phrases, quantifying topic overlap between patents and research, predicting patent classes, and generating customized reports for users based on their roles. The reports help identify emerging research, measure commercialization, and predict exploitable areas.