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Sentiment Analysis from Images of Natural Disasters
Social media have been widely exploited to detect and gather relevant in...
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Fake Cures: User-centric Modeling of Health Misinformation in Social Media
Social media's unfettered access has made it an important venue for heal...
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KIBS Innovative Entrepreneurship Networks on Social Media
The analysis of the use of social media for innovative entrepreneurship ...
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On the State of Social Media Data for Mental Health Research
Data-driven methods for mental health treatment and surveillance have be...
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Understanding Breast Implant Illness via Social Media Data Analysis
Background: Breast implants have been increasingly popular over the last...
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Leveraging Medical Sentiment to Understand Patients Health on Social Media
The unprecedented growth of Internet users in recent years has resulted ...
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Discovering Opioid Use Patterns from Social Media for Relapse Prevention
The United States is currently experiencing an unprecedented opioid cris...
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Mining social media data for biomedical signals and health-related behavior
Social media data has been increasingly used to study biomedical and health-related phenomena. From cohort level discussions of a condition to planetary level analyses of sentiment, social media has provided scientists with unprecedented amounts of data to study human behavior and response associated with a variety of health conditions and medical treatments. Here we review recent work in mining social media for biomedical, epidemiological, and social phenomena information relevant to the multilevel complexity of human health. We pay particular attention to topics where social media data analysis has shown the most progress, including pharmacovigilance, sentiment analysis especially for mental health, and other areas. We also discuss a variety of innovative uses of social media data for health-related applications and important limitations in social media data access and use.
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