AIMC Topic: Social Media

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Towards Transfer Learning Techniques-BERT, DistilBERT, BERTimbau, and DistilBERTimbau for Automatic Text Classification from Different Languages: A Case Study.

Sensors (Basel, Switzerland) Oct 26, 2022
The Internet of Things is a paradigm that interconnects several smart devices through the internet to provide ubiquitous services to users. This paradigm and Web 2.0 platforms generate countless amounts of textual data. Thus, a significant challenge ...
Social Media Natural Language Processing Learning Deep Learning Language
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Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models.

International journal of environmental research and public health Oct 3, 2022
Individuals who suffer from suicidal ideation frequently express their views and ideas on social media. Thus, several studies found that people who are contemplating suicide can be identified by analyzing social media posts. However, finding and comp...
Humans Neural Networks, Computer Machine Learning Deep Learning Suicidal Ideation Female Social Media Male
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[Pharmacological knowledge bases in Sweden: successes and future in a time of information overflow].

Lakartidningen Sep 14, 2022
Skewed information about medicines in social media influence the healthcare-patient contact. Healthcare staff need situation adapted evidence that can be linked to patient data. For 20 years Sweden has provided praised Pharmacological Knowledge Bases...
Humans Delivery of Health Care Sweden Knowledge Bases Child Social Media
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Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts.

Journal of medical Internet research Sep 2, 2022
BACKGROUND: Dementia is a global public health priority due to rapid growth of the aging population. As China has the world's largest population with dementia, this debilitating disease has created tremendous challenges for older adults, family careg...
Humans Machine Learning China Dementia Social Media Language Attitude Aged
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Eliminating Data Duplication in CQA Platforms Using Deep Neural Model.

Computational intelligence and neuroscience Aug 25, 2022
Primary research to detect duplicate question pairs within community-based question answering systems is based on datasets made of English questions only. This research put forward a solution to the problem of duplicate question detection by matching...
Language Humans Social Media Neural Networks, Computer
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Language-agnostic deep learning framework for automatic monitoring of population-level mental health from social networks.

Journal of biomedical informatics Jul 28, 2022
In many countries, mental health issues are among the most serious public health concerns. National mental health statistics are frequently collected from reported patient cases or government-sponsored surveys, which have restricted coverage, frequen...
Humans Mental Health Deep Learning Social Networking Social Media Natural Language Processing
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Deep Sentiment Analysis of Twitter Data Using a Hybrid Ghost Convolution Neural Network Model.

Computational intelligence and neuroscience Jul 18, 2022
Several problems remain, despite the evident advantages of sentiment analysis of public opinion represented on Twitter and Facebook. On complicated training data, hybrid approaches may reduce sentiment mistakes. This research assesses the dependabili...
Neural Networks, Computer Algorithms Support Vector Machine Humans Social Media Sentiment Analysis
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Exploring COVID-19-Related Stressors: Topic Modeling Study.

Journal of medical Internet research Jul 13, 2022
BACKGROUND: The COVID-19 pandemic has affected the lives of people globally for over 2 years. Changes in lifestyles due to the pandemic may cause psychosocial stressors for individuals and could lead to mental health problems. To provide high-quality...
Social Media Natural Language Processing Mental Health Prevalence Stress, Psychological United States Latent Class Analysis COVID-19 SARS-CoV-2 Humans Pandemics
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Let's (Tik) Talk About Fitness Trends.

Frontiers in public health Jul 11, 2022
Several factors that follow the development of society affect physical inactivity, which primarily includes the development of technology and digitalization and the increasing choice of unhealthy lifestyle habits. However, certain shifts in the fitne...
Social Networking Humans Social Media Exercise Artificial Intelligence Sedentary Behavior
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Exploring the Chinese Public's Perception of Omicron Variants on Social Media: LDA-Based Topic Modeling and Sentiment Analysis.

International journal of environmental research and public health Jul 8, 2022
The COVID-19 pandemic caused by SARS-CoV-2 is still raging. Similar to other RNA viruses, SARS-COV-2 is constantly mutating, which leads to the production of many infectious and lethal strains. For instance, the omicron variant detected in November 2...
Pandemics COVID-19 Public Health China SARS-CoV-2 Humans Attitude Public Opinion Federal Government Emotions Latent Class Analysis Health Education Social Media Sentiment Analysis COVID-19 Vaccines Internationality
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