The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

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 …

Sentiment analysis has been a hot research topic in natural language processing and data
mining fields in the last decade. Recently, deep neural network (DNN) models are being …

Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

The increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …

Sentiment analysis (SA) is a widely used contextual mining technique for extracting useful
and subjective information from text-based data. It applies on Natural Language Processing …

Sentiment analysis is one of the traditional well-known tasks in Natural Language
Processing (NLP) research. In recent years, Pre-trained Models (PMs) have become one of …

Social networks play a key role in providing a new approach to collecting information
regarding mobility and transportation services. To study this information, sentiment analysis …

The wealth of unstructured text on the online web portal has made opinion mining the most
thrust area for researchers, academicians, and businesses to extract information for …

Sentiment analysis, a transformative force in natural language processing, revolutionizes
diverse fields such as business, social media, healthcare, and disaster response. This …