A Study on Priority Determination Using Topic-Modeling and AHP

Topic-Modeling과 AHP를 활용한 우선순위 결정에 관한 연구

Recently, with the increase in demand for big data analysis, related techniques and tools are being developed, which makes it possible to utilize data that was difficult to analyze by traditional methods. Topic modeling is a useful technique for deriving topics from a vast amount of text, and is often used in research on trends and predictions of academic research or science and technology. However, the topic derived from the topic modeling is a combination of words presented on the basis of the frequency and probability of simultaneous occurrence, and cannot describe the importance or priority of each word. Therefore, in this study, we applied AHP (Analytic Hierarchy Process) technique to evaluate the priority of the result derived from topic modeling (Topic). In this study, bibliographic data (total of 15,888 articles) of academic researches related to consulting were collected and used in the analysis of this study in order to suggest prioritization method using Topic-Modeling and AHP.