AIMC Topic: Social Media

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Optimized hierarchical CLSTM model for sentiment classification of tweets using boosted killer whale predation strategy.

Scientific reports
Opinion mining is more challenging than it was before because of all the user-generated material on social media. People use Twitter (X) to gather opinions on products, advancements, and laws. Sentiment Analysis (SA) examines people's thoughts, feeli...

Mapping Vaccine Sentiment by Analyzing Spanish-Language Social Media Posts and Survey-Based Public Opinion: Dual Methods Study.

JMIR infodemiology
BACKGROUND: The internet and social media have been considered useful platforms for obtaining health information. However, critical and erroneous content about vaccines on social media has been associated with vaccination delays and refusal.

Decoding HIV Discourse on Social Media: Large-Scale Analysis of 191,972 Tweets Using Machine Learning, Topic Modeling, and Temporal Analysis.

Journal of medical Internet research
BACKGROUND: HIV remains a global challenge, with stigma, financial constraints, and psychosocial barriers preventing people living with HIV from accessing health care services, driving them to seek information and support on social media. Despite the...

Arab2Vec: An Arabic word embedding model for use in Twitter NLP applications.

PloS one
The analysis of Arabic Twitter data sets is a highly active research topic, particularly since the outbreak of COVID-19 and subsequent attempts to understand public sentiment related to the pandemic. This activity is partially driven by the high numb...

Social Media Insights Into Disease Burden in Patients and Caregivers of Myelodysplastic Syndrome: Subcohort Analysis of High-Risk Patients.

Journal of medical Internet research
BACKGROUND: Social media platforms offer valuable insights into patients' experience, revealing organic conversations that reflect their immediate concerns and needs. Through active listening to lived experiences, we can identify unmet needs and disc...

A novel and efficient personalized stress detection technique using a deep learning model.

Scientific reports
Stress is a type of mental tension or escalated psycho-physiological state of the human body caused by a problematic situation. It majorly affects adults and elders, which further leads to chronic health problems and heart-related diseases. Various t...

Natural language processing reveals network structure of pain communication in social media using discrete mathematical analysis.

Scientific reports
Pain-related discussions on social media provide valuable insights into how people naturally express and communicate their pain experiences. However, the network structure of these discussions remains poorly understood. This study analyzed 57,000 Red...

Transfer learning driven fake news detection and classification using large language models.

Scientific reports
Today, the problem of using social media to spread false information is not only widespread but also quite serious. The extensive dissemination of fake news, regardless of whether it is produced by human beings or computer programs, has a negative im...

Public concerns about human metapneumovirus: insights from Google search trends, X social networks, and web news mining to enhance public health communication.

BMC public health
The respiratory virus known as human metapneumovirus (hMPV) is linked to seasonal outbreaks and primarily affects elderly people and young children. Infodemiology, which uses digital data sources, including social media, online news, and search trend...

Sentiment analysis for deepfake X posts using novel transfer learning based word embedding and hybrid LGR approach.

Scientific reports
With the growth of social media, people are sharing more content than ever, including X posts that reflect a variety of emotions and opinions. AI-generated synthetic text, known as deepfake text, is used to imitate human writing to disseminate mislea...