Articles

A New Method of Keyword Extraction from Foresight Topics Based on Textmining and Complexity Network Analysis

Keun-Ha Chung, Cheol-Woo Jeong

Abstract

In this study, we present new methods for identifying keywords for foresight topics that utilize the internet, network analysis, and text mining techniques to draw objective and quantified information that support experts’ qualitative opinions and evaluations in foresight. Furthermore, by applying this fabricated procedure, we have derived keywords to analyze priorities in architectural engineering. Not much difference between qualitative methods of experts and quantitative methods such as text mining has been observed from comparison between technologies derived via qualitative method from “The 3rd Science and Technology Foresight” (control group) and technologies derived via quantitative method from the “S&T Vision for the Future towards 2040” (experimental group) in South Korea. Therefore, as a quantitative tool useful for drawing keywords for foresight, text mining can supplement quantitative analysis by experts. In addition, depending on the level and type of raw data, text mining can bring better results in deriving foresight keywords. For this reason, research activities accommodating Internet search results and the development of text mining methods for analyzing current trends are in demand. Meanwhile, the question of whether to apply newly evolving methods to complex systems can only be answered through continuous research. 

Keywords