AIMC Topic: Social Media

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Identifying Potential Lyme Disease Cases Using Self-Reported Worldwide Tweets: Deep Learning Modeling Approach Enhanced With Sentimental Words Through Emojis.

Journal of medical Internet research Oct 16, 2023
BACKGROUND: Lyme disease is among the most reported tick-borne diseases worldwide, making it a major ongoing public health concern. An effective Lyme disease case reporting system depends on timely diagnosis and reporting by health care professionals...
Deep Learning United States Humans Self Report Attitude Social Media Lyme Disease
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Quantum computing and machine learning for Arabic language sentiment classification in social media.

Scientific reports Oct 12, 2023
With the increasing amount of digital data generated by Arabic speakers, the need for effective and efficient document classification techniques is more important than ever. In recent years, both quantum computing and machine learning have shown grea...
Sentiment Analysis Humans Machine Learning Quantum Theory Language Computing Methodologies Social Media
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Sentiment Analysis of Tweets on Menu Labeling Regulations in the US.

Nutrients Oct 6, 2023
Menu labeling regulations in the United States mandate chain restaurants to display calorie information for standard menu items, intending to facilitate healthy dietary choices and address obesity concerns. For this study, we utilized machine learnin...
United States Social Media Humans Machine Learning Public Opinion Sentiment Analysis
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Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining.

Big data Sep 4, 2023
This study investigates customers' product design requirements through online comments from social media, and quickly translates these needs into product design specifications. First, the exponential discriminative snowball sampling method was propos...
Data Mining Consumer Behavior Social Media Natural Language Processing Humans Deep Learning Smartphone Cluster Analysis
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A visual-language foundation model for pathology image analysis using medical Twitter.

Nature medicine Aug 17, 2023
The lack of annotated publicly available medical images is a major barrier for computational research and education innovations. At the same time, many de-identified images and much knowledge are shared by clinicians on public forums such as medical ...
Social Media Knowledge Language Image Processing, Computer-Assisted Humans Artificial Intelligence
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Deep learning for COVID-19 topic modelling via Twitter: Alpha, Delta and Omicron.

PloS one Aug 1, 2023
Topic modelling with innovative deep learning methods has gained interest for a wide range of applications that includes COVID-19. It can provide, psychological, social and cultural insights for understanding human behaviour in extreme events such as...
SARS-CoV-2 Pandemics Deep Learning Humans Social Media COVID-19
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Hybrid Recommender System for Mental Illness Detection in Social Media Using Deep Learning Techniques.

Computational intelligence and neuroscience Jul 8, 2023
Recommender systems are chiefly renowned for their applicability in e-commerce sites and social media. For system optimization, this work introduces a method of behaviour pattern mining to analyze the person's mental stability. With the utilization o...
Deep Learning Humans Data Mining Social Media Machine Learning Algorithms
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On the use of aspect-based sentiment analysis of Twitter data to explore the experiences of African Americans during COVID-19.

Scientific reports Jul 2, 2023
According to data from the U.S. Center for Disease Control and Prevention, as of June 2020, a significant number of African Americans had been infected with the coronavirus disease, experiencing disproportionately higher death rates compared to other...
Humans Black or African American Sentiment Analysis United States Pandemics Social Media COVID-19
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AI model GPT-3 (dis)informs us better than humans.

Science advances Jun 28, 2023
Artificial intelligence (AI) is changing the way we create and evaluate information, and this is happening during an infodemic, which has been having marked effects on global health. Here, we evaluate whether recruited individuals can distinguish dis...
Artificial Intelligence Humans Social Media
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Examining the Prevailing Negative Sentiments Surrounding Measles Vaccination: Unsupervised Deep Learning of Twitter Posts from 2017 to 2022.

Cyberpsychology, behavior and social networking Jun 26, 2023
Despite the proven safety and clinical efficacy of the Measles vaccine, many countries are seeing new heights of vaccine hesitancy or refusal, and are experiencing a resurgence of measles infections as a consequence. With the use of novel machine lea...
Deep Learning Social Media Humans Attitude Vaccination COVID-19 Vaccines
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