Article

Leveraging Transformer-Based Models for Post-Market Surveillance: A Case Study on Turkish E-Commerce Reviews of Diabetes Management Devices

2026-02-16

Abstract excerpt

<h4>Background: </h4> Sentiment analysis in Turkish is particularly challenging due to the language’s agglutinative structure and rich morphological variation. At the same time, consumer-generated data on healthcare products—especially self-monitoring blood glucose (SMBG) systems—represent an underutilized source of real-world evidence for understanding device performance and user experience. <h4>Objective: </h4>...

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Literature Corpus work: d30fdcc7-342a-5dc6-be62-f0f7489041af
DOI: 10.22541/au.177123975.54573004/v1

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