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

Sentiment analysis on public opinion expressed in social networks, such as Twitter or
Facebook, has been developed into a wide range of applications, but there are still many …

Sentiment analysis is an ongoing research field within the discipline of data mining. The
majority of academics employ deep learning models for sentiment analysis due to their …

In the contemporary era, social media platforms amass an extensive volume of social data
contributed by their users. In order to promptly grasp the opinions and emotional inclinations …

In today's world, it is important to understand individuals' health related opinions through
sentiment analysis. Recently, many deep learning methods such as deep convolution neural …

The classification of sentiments, often known as sentiment analysis, is now widely
recognized as an open field of research. Over the past few years, a huge amount of study …

Twitter is increasingly being used as a venue for medical research because of the large
number of unstructured and free-text tweets sent there on healthcare-related topics. In …

The COVID-19 pandemic has affected many aspects of everyone's lives, causing problems
in health and the economy. People often share their sentiments about the pandemic on …

Social media is one of the evolving platforms to share the views. The social media such as
Twitter, Instagram, Facebook, and other microblogging sites floats lot of information from one …

Financial pressure is one of the factors that determine the survival of a business. In order to
minimize the exhausted risk, economicfinancial analytics and forecasting have been taken …