텍스트 마이닝기법을 이용한 도자 품목 트렌드분석 연구

Abstract

People leave a significant amount of text on the internet, primarily through social media. The techniques for filtering out unnecessary text and analyzing important information using text mining systems have been continually advancing and are now widely used for marketing, research, and other purposes. In this study, we utilized text mining techniques to investigate and compare general items with ceramic items within the same category, and then analyzed the results alongside previous studies to identify trends. The findings showed that ceramic items generally exhibited greater growth compared to general items, indicating an increasing market potential for ceramic products. Furthermore, by comparing the results from the perspectives of suppliers and consumers, it became clear that more accurate market analysis is possible.