Idea Mining and Visualization Based on Tweet Analysis
Natsuki Hashimoto, Marie Katsurai · 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · 2022
Service developers are constantly creating or improving services, and they are struggling to attract people's attention and to ensure use of their services for a long time. To support developers, this paper presents an idea-mining method for improving services based on service users' tweets. In addition, we develop a visualization interface to understand the tweet analysis results intuitively. In this experiment, we conducted idea mining for three chat services, and the developed interface shows ideas concerning user-desired functions that users want.