AIMC Topic: Social Media

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Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach.

Journal of medical Internet research Aug 17, 2020
BACKGROUND: Twitter is a potentially valuable tool for public health officials and state Medicaid programs in the United States, which provide public health insurance to 72 million Americans.
Social Media Medicaid Machine Learning United States Humans
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Machine Learning Classifiers for Twitter Surveillance of Vaping: Comparative Machine Learning Study.

Journal of medical Internet research Aug 12, 2020
BACKGROUND: Twitter presents a valuable and relevant social media platform to study the prevalence of information and sentiment on vaping that may be useful for public health surveillance. Machine learning classifiers that identify vaping-relevant tw...
Humans Public Health Surveillance Machine Learning Social Media Deep Learning Vaping Longitudinal Studies
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A deep learning model for detecting mental illness from user content on social media.

Scientific reports Jul 16, 2020
Users of social media often share their feelings or emotional states through their posts. In this study, we developed a deep learning model to identify a user's mental state based on his/her posting information. To this end, we collected posts from m...
Deep Learning Depression Bipolar Disorder Male Anxiety Semantics Autistic Disorder Phonetics Social Media Schizophrenia Humans Adult Mental Health Female Psycholinguistics Borderline Personality Disorder Blogging
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α-Satellite: An AI-Driven System and Benchmark Datasets for Dynamic COVID-19 Risk Assessment in the United States.

IEEE journal of biomedical and health informatics Jul 15, 2020
The fast evolving and deadly outbreak of coronavirus disease (COVID-19) has posed grand challenges to human society. To slow the spread of virus infections and better respond for community mitigation, by advancing capabilities of artificial intellige...
Pneumonia, Viral Benchmarking Coronavirus Infections Betacoronavirus United States Social Media SARS-CoV-2 Risk Assessment Computer Systems Computational Biology Geographic Information Systems COVID-19 Humans Pandemics Databases, Factual Artificial Intelligence
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Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media.

Journal of medical Internet research Jul 13, 2020
BACKGROUND: High-quality medical resources are in high demand worldwide, and the application of artificial intelligence (AI) in medical care may help alleviate the crisis related to this shortage. The development of the medical AI industry depends to...
Adult Social Media Humans Public Opinion Perception Artificial Intelligence
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Cross-Modal Search for Social Networks via Adversarial Learning.

Computational intelligence and neuroscience Jul 11, 2020
Cross-modal search has become a research hotspot in the recent years. In contrast to traditional cross-modal search, social network cross-modal information search is restricted by data quality for arbitrary text and low-resolution visual features. In...
Semantics Social Media Neural Networks, Computer Natural Language Processing Social Networking Online Social Networking Machine Learning Datasets as Topic
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Using deep learning and Twitter data to identify outpatient antibiotic misuse.

Infection control and hospital epidemiology Jun 18, 2020
Social Media Outpatients Humans Anti-Bacterial Agents Deep Learning
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Social media forensics applied to assessment of post-critical incident social reaction: The case of the 2017 Manchester Arena terrorist attack.

Forensic science international Jun 13, 2020
Forensic science is constantly evolving and transforming, reflecting the numerous technological innovations of recent decades. There are, however, continuing issues with the use of digital data, such as the difficulty of handling large-scale collecti...
Natural Language Processing Data Mining Humans Forensic Sciences Machine Learning United Kingdom Terrorism Social Media
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Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets.

PloS one Jun 8, 2020
Symbolic sequential data are produced in huge quantities in numerous contexts, such as text and speech data, biometrics, genomics, financial market indexes, music sheets, and online social media posts. In this paper, an unsupervised approach for the ...
Humans Social Media Natural Language Processing
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An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining.

Computational intelligence and neuroscience May 31, 2020
Recommendation of a relevant and suitable news article is an essential but a challenging task due to changes in the user interest categories over time. Moreover, the Internet technology provides abundant news articles from a huge amount of resources....
Data Mining Data Analysis Humans Emotional Intelligence Social Media Machine Learning
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