[1E5-OS-3b] OS-3

[1E5-OS-3b-04] Extraction of Viewpoint-Oriented Major Opinions from Comment Sets Using ChatGPT

〇Atsuya Komori¹, Wataru Sunayama², Shun Hattori² (1. Graduate School of the University of Shiga Prefecture, 2. School of Engineering, The University of Shiga Prefecture)

Keywords:Text Analysis, Extraction of Viewpoint-Oriented Major Opinions, LLM, ChatGPT

In websites where many people can post comments, such as video-sharing platforms, analyzing the diverse range of submitted opinions can potentially serve as a basis for decision-making. However, as the quantity and variety of comments increase, summarizing these opinions manually becomes impractical. Moreover, the appropriate method of summarization may differ depending on the specific decision at hand. Therefore, this study proposes a method to extract major opinions from a set of comments by using ChatGPT for each perspective deemed necessary for the analysis. Through experiments, we verified that the proposed method can generate different summaries tailored to each perspective.