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App Review Mining

Also known as: App Store Review Analysis, User Review Mining

The process of systematically extracting, classifying, and analyzing user reviews from app stores such as Google Play and the Apple App Store to identify patterns, issues, and feature requests. In accessibility research, app review mining is used to discover real-world accessibility barriers reported by users with disabilities, often employing natural language processing and machine learning techniques to filter accessibility-related feedback from large volumes of reviews. This approach provides developers with actionable insights from actual user experiences rather than relying solely on automated testing or expert evaluation.

Category: Research Methods · Mobile Accessibility · Machine Learning

Related: Machine Learning · Mobile Accessibility · Natural Language Processing

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