This observational analysis examines customer sentiment and product interoperability in ecosystems, suggesting actionable design insights.
This paper introduces a novel methodology for analyzing customer preferences within product ecosystems by leveraging video reviews from social media platforms. The approach includes three stages: collecting and preprocessing video reviews, extracting product features using Latent Dirichlet Allocation (LDA), and analyzing sentiment with the VADER package. By utilizing video reviews, this study captures a more detailed and structured understanding of customer experiences compared to traditional textual reviews, offering actionable guidance for product interoperability and user sentiment analysis. The research highlights the importance of understanding the relationships between products and their accessories, providing specific design insights for creating cohesive product ecosystems that resonate with users on both functional and emotional levels.
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Lin et al. (2025) studied this question.
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