人工知能学会第二種研究会資料
Online ISSN : 2436-5556
レビューデータを用いた消費者の関心要素の変化特定手法と分析方法の提案
須藤 優音後藤 裕介
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研究報告書・技術報告書 フリー

2025 年 2025 巻 BI-026 号 p. 06-

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With the expansion of the EC market, the range of product choices has grown, making it easier for consumers to search for and compare products. However, the diversification of choices has complicated the evaluation criteria used by consumers when selecting products, making it difficult for companies to understand what elements influence purchase decisions. Traditional methods primarily analyze consumer interest factors at a single point in time, lacking approaches to track changes over time. This study addresses this gap by generating topics from review data annually and evaluating the similarity between these topics. Additionally, by analyzing changes within similar topics and their underlying causes, this research aims to verify whether the characteristics of a company's product are accurately recognized and evaluated by consumers.

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