Social media platforms such as (Twitter, Facebook, and Weibo) are being increasingly
embraced by individuals, groups, and organizations as a valuable source of information …

Opinion mining and sentiment analysis are useful to extract subjective information out of
bulk text documents. Predicting the customer's opinion on amazon products has several …

Sentiment classification is a field of sentiment analysis concerned with analyzing opinions,
emotions, evaluations, and attitudes regarding a special topic like a product, an …

Corporate social responsibility (CSR) has become an imperative tool to address challenges
and achieve sustainable growth. Realizing its impact to the society, companies are …

Predicting election results is a hot area in political science. In the last decade, social media
has been widely used in political elections. Most approaches can predict the result of a …

Twitter is a microblogging site where clients read and compose short messages on different
points each day. Political investigation using social media is getting the consideration of …

Background and Objectives: Twitter Sentiment Classification is one of the most popular
fields in information retrieval and text mining. Millions of people of the world intensity use …

This study employs the XLM-RoBERTa transformer model to perform sentiment analysis on
Twitter data, focusing on discussions around the Metaverse and 6G technologies. Through a …

In recent decades, it is very challenging for the researchers to identify the users' sentiments
from the twitter data, due to unstructured nature, misspells, abbreviations, limited size, and …

The focus of this study is to use social media to investigate the Russia-Ukraine conflict. With
the assent of the Russian parliament, Russian President Vladimir Putin proclaimed that they …