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This study conducts text mining analysis of user reviews on the Japanese flea market app Mercari to elucidate the characteristics of consumer purchasing behavior and user experience. Specifically, review data was collected from the App Store using Python, and frequency analysis of keywords, co-occurrence network analysis, and correspondence analysis were performed using KH Coder. This analysis provided detailed insights into factors affecting user satisfaction and insights for improving platform operations.

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Text Mining Analysis of User Experience in C2C E-commerce Based on Reviews of the Flea Market on App Mercari

  • 会议论文

  • 发表日期：

    2026年

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  • Xiuyi Yue,
  • Yukio Kodono

摘要

This study conducts text mining analysis of user reviews on the Japanese flea market app Mercari to elucidate the characteristics of consumer purchasing behavior and user experience. Specifically, review data was collected from the App Store using Python, and frequency analysis of keywords, co-occurrence network analysis, and correspondence analysis were performed using KH Coder. This analysis provided detailed insights into factors affecting user satisfaction and insights for improving platform operations.