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

Dai Zhu, Nadzeya Sabatini () and Nicoletta Fornara ()
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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

A chapter in Fashion Communication in the Digital Age, 2026, pp 181-195 from Springer

Abstract: 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.

Keywords: Sentiment analysis; Usability challenges; Fashion industry; Social media analytics; Fashion sentiment analysis; RED (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-3-031-99481-4_14

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