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

In: Fashion Communication in the Digital Age

Author

Listed:
  • Dai Zhu

    (USI – Università della Svizzera italiana)

  • Nadzeya Sabatini

    (Gdansk University of Technology and USI – Università della Svizzera italiana)

  • Nicoletta Fornara

    (USI – Università della Svizzera italiana)

Abstract

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.

Suggested Citation

  • Dai Zhu & Nadzeya Sabatini & Nicoletta Fornara, 2026. "Usability Challenges in Sentiment Analysis Tools: A Dual Approach for the Fashion Industry," Springer Proceedings in Business and Economics, in: Paula von Wachenfeldt & Lorenzo Cantoni & Nadzeya Sabatini & Teresa Sádaba (ed.), Fashion Communication in the Digital Age, pages 181-195, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-99481-4_14
    DOI: 10.1007/978-3-031-99481-4_14
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