Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

On Twitter, COVID-19 is a highly discussed topic. People worldwide have used Twitter to
express their viewpoints and feelings during the pandemic. Previous research has focused …

There is an exponential growth in textual content generation every day in today's world. In-
app messaging such as Telegram and WhatsApp, social media websites such as Instagram …

Sentiment analysis is a sub-domain in opinion mining that extracts sentiments from the
users' opinions from text messages. Opinions from E-commerce websites, blogs, online …

Aspect sentiment classification tasks aim to identify the aspect in a sentence and express the
sentiment polarities of the aspect. In existing studies, combining different deep learning …

Recent research and developments in the field of Sentiment Analysis (SA) have made it
possible to simplify the detection and classification of sentiments from the textual content …

Sentiment analysis, which aims to extract information from textual data indicating people's
ideas or attitudes about a particular problem, has developed into one of the most exciting …

Social networks and media have gradually grabbed significant time from people's lives to
share and communicate information. Moreover, these social platforms also act as an …

Sentiment quantification is the task of training, by means of supervised learning, estimators
of the relative frequency (also called “prevalence”) of sentiment-related classes (such as …

Abstract Machine Learning models and algorithms have become quite common these days.
Deep Learning and Machine Learning algorithms are utilized in various projects, and now, it …