Visualization System for Traditional Crafts based on Text Mining with Sentiment Analysis

The establishment of traditional crafts is not only the pursuit of craftsmanship, the inheritance and innovation of traditional crafts, but also a microcosm of the history of an era. In recent years, users have also been using online forms to browse regionally specific traditional crafts. However, there are numerous and varied traditional crafts, and users do not have an intuitive and comprehensive overview of the traditional crafts in that region. Therefore, in this work, we aim to develop a visualization system for traditional crafts to help users better understand local traditional crafts and to promote the enhancement of traditional crafts and regional revitalization. For this, we utilize text mining with sentiment analysis to visualize traditional crafts designated by the Minister of Economy, Trade, and Industry (METI). Text mining of traditional crafts enables users to learn about the characteristics of local traditional crafts, and sentiment analysis of traditional crafts allows users to understand the emotional characteristics of the crafts that reflect their history. Finally, we developed a visualization system for traditional crafts and validated its usefulness, and we confirmed that users could learn about local traditional crafts comprehensively and intuitively.