Analyzing and understanding the sentiments of social media documents on Twitter,
Facebook, and Instagram has become a very important task at present. Analyzing the …

Artificial intelligence (AI) has significantly impacted various fields. Large language models
(LLMs) like GPT-4, BARD, PaLM, Megatron-Turing NLG, Jurassic-1 Jumbo etc., have …

The COVID-19 epidemic poses a worldwide threat that transcends provincial, philosophical,
spiritual, radical, social, and educational borders. By using a connected network, a …

In the era of the COVID-19 pandemic, the surge in information sharing on social media,
particularly Twitter, necessitates a nuanced understanding of sentiments. Conventional …

Product reviews on the marketplace are interesting to research. Aspect-based sentiment
analysis (ABSA) can be used to find in-depth information from a review. In one review, there …

Automating sentiment analysis in texts has become an important task in recent years due to
the exponential growth of user-generated content, including comments and opinions on …

Social media is a crucial communication tool (eg, with 430 million monthly active users in
online forums such as Reddit), being an objective of Natural Language Processing (NLP) …

The SARS-CoV-2 virus has spread worldwide since March 2020 and became a global
pandemic. Millions of people worldwide have infected with this virus. This research work …

Now-a-days, social media platforms enable people to continuously express their opinions
and thoughts about different topics. Monitoring and analyzing the sentiments of people is …

Social media services and analytics platforms are rapidly growing. A large number of
various events happen mostly every day, and the role of social media monitoring tools is …