AIMC Topic: Social Media

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Analysis of the hikikomori phenomenon - an international infodemiology study of Twitter data in Portuguese.

BMC public health Feb 19, 2024
BACKGROUND: Hikikomori refers to the extreme isolation of individuals in their own homes, lasting at least six months. In recent years social isolation has become an important clinical, social, and public health problem, with increased awareness of h...
Artificial Intelligence Language Humans Social Media Phobia, Social Shame Portugal Infodemiology
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[Feeling analysis on allergen immunotherapy on using an unsupervised machine learning model].

Revista alergia Mexico (Tecamachalco, Puebla, Mexico : 1993) Feb 1, 2024
OBJECTIVE: Analyze feelings about allergen-specific immunotherapy on using the VADER model VADER () model.
Desensitization, Immunologic Humans Social Media Emotions Unsupervised Machine Learning
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Use of Health Belief Model-based Deep Learning to Understand Public Health Beliefs in Breast Cancer Screening from Social Media before and during the COVID-19 Pandemic.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 11, 2024
Breast cancer is the second leading cause of cancer death for women in the United States. While breast cancer screening participation is the most effective method for early detection, screening rate has remained low. Given that understanding health p...
Breast Neoplasms Health Belief Model Early Detection of Cancer Public Health COVID-19 Social Media Deep Learning Humans Female United States Pandemics
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Graph global attention network with memory: A deep learning approach for fake news detection.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2024
With the proliferation of social media, the detection of fake news has become a critical issue that poses a significant threat to society. The dissemination of fake information can lead to social harm and damage the credibility of information. To add...
Disinformation Deep Learning Humans Natural Language Processing Gene Regulatory Networks Social Media
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How satisfied are patients with nursing care and why? A comprehensive study based on social media and opinion mining.

Informatics for health & social care Jan 4, 2024
To assess the overall experience of a patient in a hospital, many factors must be analyzed; nonetheless, one of the key aspects is the performance of nurses as they closely interact with patients on many occasions. Nurses carry out many tasks that co...
Humans Surveys and Questionnaires Patients Social Media Sentiment Analysis Patient Satisfaction
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Depression detection for twitter users using sentiment analysis in English and Arabic tweets.

Artificial intelligence in medicine Nov 19, 2023
Since depression often results in suicidal thoughts and leaves a person severely disabled daily, there is an elevated risk of premature mortality due to mental problems caused by depression. Therefore, it's crucial to identify the patient's mental il...
Humans Sentiment Analysis Social Media Happiness Language Depression
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Identifying self-disclosed anxiety on Twitter: A natural language processing approach.

Psychiatry research Nov 3, 2023
BACKGROUND: Text analyses of social media posts are a promising source of mental health information. This study used natural language processing to explore distinct language patterns on Twitter related to self-reported anxiety diagnosis.
Bayes Theorem Anxiety Anxiety Disorders Social Media Natural Language Processing Humans
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Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis.

PloS one Oct 18, 2023
Social media has been tremendously used worldwide for a variety of purposes. Therefore, engagement activities such as comments have attracted many scholars due its ability to reveal many critical findings, such as the role of users' sentiment. Howeve...
Humans Social Media Software Attitude Emotions Sentiment Analysis
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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...
Attitude Lyme Disease Self Report Humans United States Social Media Deep Learning
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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...
Quantum Theory Computing Methodologies Sentiment Analysis Language Social Media Humans Machine Learning
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