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The data underwent preprocessing, which involved omitting any mentions, URLs, and hashtags, removing any line breaks, deleting any HTML characters, replacing them with their respective Unicode equivalent, eliminating any special characters or punctuation points except exclamation points (the only punctuation mark relevant for sentiment analysis), and excluding posts from users with fewer than 10 followers to minimize “bot” influence and duplicate entries.
JMIR Form Res 2025;9:e60859
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Preventing Urgent Pediatric Readmissions: The Need for and Promise of Real-Time Monitoring
JMIR Pediatr Parent 2025;8:e60802
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Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis
J Med Internet Res 2025;27:e71305
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