AIMC Topic: Social Media

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Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.

International journal of environmental research and public health Sep 27, 2019
Named Entity Recognition (NER) in the healthcare domain involves identifying and categorizing disease, drugs, and symptoms for biosurveillance, extracting their related properties and activities, and identifying adverse drug events appearing in texts...
Humans Neural Networks, Computer Information Storage and Retrieval Biological Ontologies Unified Medical Language System Algorithms Social Media
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Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection.

PloS one Sep 26, 2019
With the rapid development of the internet, social media has become an essential tool for getting information, and attracted a large number of people join the social media platforms because of its low cost, accessibility and amazing content. It great...
Social Media Models, Statistical Neural Networks, Computer Deception Data Analysis
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Salience-aware adaptive resonance theory for large-scale sparse data clustering.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2019
Sparse data is known to pose challenges to cluster analysis, as the similarity between data tends to be ill-posed in the high-dimensional Hilbert space. Solutions in the literature typically extend either k-means or spectral clustering with additiona...
Pattern Recognition, Automated Cluster Analysis Social Media Big Data Fuzzy Logic Neural Networks, Computer
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Word2vec convolutional neural networks for classification of news articles and tweets.

PloS one Aug 22, 2019
Big web data from sources including online news and Twitter are good resources for investigating deep learning. However, collected news articles and tweets almost certainly contain data unnecessary for learning, and this disturbs accurate learning. T...
Humans Deep Learning Social Media Information Dissemination
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Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data.

Yearbook of medical informatics Aug 16, 2019
OBJECTIVE: We present a narrative review of recent work on the utilisation of Natural Language Processing (NLP) for the analysis of social media (including online health communities) specifically for public health applications.
Natural Language Processing Health Services Research Patient Generated Health Data Bibliometrics Humans Public Health Surveillance Public Health Social Media
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The Future of Digital Psychiatry.

Current psychiatry reports Aug 13, 2019
PURPOSE OF REVIEW: Treatments in psychiatry have been rapidly changing over the last century, following the development of psychopharmacology and new research achievements. However, with advances in technology, the practice of psychiatry in the futur...
Mobile Applications Social Media Mental Disorders Psychiatry Humans Artificial Intelligence
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Comparison of text processing methods in social media-based signal detection.

Pharmacoepidemiology and drug safety Aug 7, 2019
PURPOSE: Adverse event (AE) identification in social media (SM) can be performed using various types of natural language processing (NLP) and machine learning (ML). These methods can be categorized by complexity and precision level. Co-occurrence-bas...
Retrospective Studies Natural Language Processing Feasibility Studies Drug-Related Side Effects and Adverse Reactions Sensitivity and Specificity Social Media False Positive Reactions Adverse Drug Reaction Reporting Systems Datasets as Topic False Negative Reactions Data Collection Pharmacovigilance
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Social Media Surveillance of Multiple Sclerosis Medications Used During Pregnancy and Breastfeeding: Content Analysis.

Journal of medical Internet research Aug 7, 2019
BACKGROUND: Multiple sclerosis (MS) is a chronic neurological disease occurring mostly in women of childbearing age. Pregnant women with MS are usually excluded from clinical trials; as users of the internet, however, they are actively engaged in thr...
Breast Feeding Multiple Sclerosis Risk Assessment Social Media Humans Machine Learning Female Adult Pregnancy
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A Neural Network-Inspired Approach for Improved and True Movie Recommendations.

Computational intelligence and neuroscience Aug 4, 2019
In the last decade, sentiment analysis, opinion mining, and subjectivity of microblogs in social media have attracted a great deal of attention of researchers. Movie recommendation systems are the tools, which provide valuable services to the users. ...
Motion Pictures Humans Algorithms Neural Networks, Computer Semantics Social Media Nerve Net
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Natural language processing of Reddit data to evaluate dermatology patient experiences and therapeutics.

Journal of the American Academy of Dermatology Jul 12, 2019
BACKGROUND: There is a lack of research studying patient-generated data on Reddit, one of the world's most popular forums with active users interested in dermatology. Techniques within natural language processing, a field of artificial intelligence, ...
Feasibility Studies Dermatology Acne Vulgaris Sunbathing Patient Outcome Assessment Social Media Natural Language Processing Humans Cluster Analysis Psoriasis Software Reproducibility of Results
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