Deep learning techniques for suicide and depression detection from online social media: A sco** review
Psychological health, ie, citizens' emotional and mental well-being, is one of the most
neglected public health issues. Depression is the most common mental health issue and the …
neglected public health issues. Depression is the most common mental health issue and the …
BERT-deep CNN: State of the art for sentiment analysis of COVID-19 tweets
The COVID-19 pandemic has led to the emergence of social media platforms as crucial
channels for the dissemination of information and public opinion. Comprehending the …
channels for the dissemination of information and public opinion. Comprehending the …
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
The spread of Covid-19 has resulted in worldwide health concerns. Social media is
increasingly used to share news and opinions about it. A realistic assessment of the …
increasingly used to share news and opinions about it. A realistic assessment of the …
Topic detection and sentiment analysis in Twitter content related to COVID-19 from Brazil and the USA
K Garcia, L Berton - Applied soft computing, 2021 - Elsevier
Twitter is a social media platform with more than 500 million users worldwide. It has become
a tool for spreading the news, discussing ideas and comments on world events. Twitter is …
a tool for spreading the news, discussing ideas and comments on world events. Twitter is …
Sentimental analysis of COVID-19 tweets using deep learning models
The novel coronavirus disease (COVID-19) is an ongoing pandemic with large global
attention. However, spreading false news on social media sites like Twitter is creating …
attention. However, spreading false news on social media sites like Twitter is creating …
Covid-19 sentiments in smart cities: The role of technology anxiety before and during the pandemic
The spread of Covid-19 profoundly changed citizens' daily lives due to the introduction of
new modes of work and access to services based on smart technologies. Although the …
new modes of work and access to services based on smart technologies. Although the …
Cross-SEAN: A cross-stitch semi-supervised neural attention model for COVID-19 fake news detection
As the COVID-19 pandemic sweeps across the world, it has been accompanied by a
tsunami of fake news and misinformation on social media. At the time when reliable …
tsunami of fake news and misinformation on social media. At the time when reliable …
[PDF][PDF] RETRACTED ARTICLE: Defining content marketing and its influence on online user behavior: a data-driven prescriptive analytics method
B Barbosa, JR Saura, SB Zekan… - Annals of Operations …, 2024 - bib.irb.hr
Content marketing involves producing and distributing content effectively and initially
through digital channels. However, digital marketing strategies and business models can …
through digital channels. However, digital marketing strategies and business models can …
COVID-19 sentiment analysis via deep learning during the rise of novel cases
Social scientists and psychologists take interest in understanding how people express
emotions and sentiments when dealing with catastrophic events such as natural disasters …
emotions and sentiments when dealing with catastrophic events such as natural disasters …
[PDF][PDF] Performance evaluation and comparison using deep learning techniques in sentiment analysis
AP Pandian - Journal of Soft Computing Paradigm (JSCP), 2021 - scholar.archive.org
One of the most common applications of deep learning algorithms is sentiment analysis.
This study delivers a better performing and efficient automated feature extraction technique …
This study delivers a better performing and efficient automated feature extraction technique …