토픽모델링과 연관규칙을 활용한 보유 기술 기반의 잠재적 기술테마 탐색

Abstract

In a rapidly changing market environment, it is very important to discover new technology opportunities due to global technology competition. Identifying technology opportunities can be defined as the process of discovering opportunities for profitability through the development and utilization of technology and products, and these activities have become essential elements for the continued growth of enterprises and countries. For this reason, many researchers have proposed various methodologies for discovering technology opportunities, but most studies fail to identify the internal competencies of those seeking technology opportunities, or proposed technology opportunities as set items, such as patent classification codes. Therefore, it has been difficult for research results to be used in decision making by corporations or public agencies. In this study, we propose a methodology for recommending non - retention technologies that are highly related to retention technologies, considering the internal competencies of those who seek out technology opportunities using topic modeling and association rule mining.The results of this study are expected to save a lot of time and money in mergers and acquisitions, expansion of business scope, and R & D and policy decision making by government and public research institutes.