METHOD OF DIAGNOSING AND PREDICTING SCIENCE TECHNOLOGY POWER OF EACH COMPANY OR EACH COUNTRY USING PATENT DATA AND RESEARCH PAPER DATA

摘要

The present invention relates to a method for diagnosing and predicting the science technology power of countries, companies, research institutes, and desired technologies through a diagnosis model created by applying one or more patent and paper variables to a machine learning algorithm. The present invention comprises a step for: collecting patent or paper data for a predetermined technology, classifying the collected patent data into each country, company, and research institute, calculating one or more patent or paper variables, generating a diagnosis model by applying the variable to a machine learning algorithm, and calculating one or more diagnosis values using the diagnosis model.