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This study represents one of the earliest explorations of usability challenges in sentiment analysis tools for the fashion domain. Through a dual approach—an industry survey and a heuristic evaluation of tools, including SentiStrength and IBM Watson NLU—this research identified a significant gap between the high-value professionals place on public sentiment and the inefficiencies of current methods. Key usability issues were identified, such as lack of efficiency and flexibility, poor documentation, and limited domain-specific adaptability. The study offers actionable recommendations for a more user-centric tool design. It highlights the need to develop more effective sentiment analysis solutions to meet the needs of fashion industry professionals.

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Usability Challenges in Sentiment Analysis Tools: A Dual Approach for the Fashion Industry

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Dai Zhu,
  • Nadzeya Sabatini,
  • Nicoletta Fornara

摘要

This study represents one of the earliest explorations of usability challenges in sentiment analysis tools for the fashion domain. Through a dual approach—an industry survey and a heuristic evaluation of tools, including SentiStrength and IBM Watson NLU—this research identified a significant gap between the high-value professionals place on public sentiment and the inefficiencies of current methods. Key usability issues were identified, such as lack of efficiency and flexibility, poor documentation, and limited domain-specific adaptability. The study offers actionable recommendations for a more user-centric tool design. It highlights the need to develop more effective sentiment analysis solutions to meet the needs of fashion industry professionals.