Sentiment analysis is a critical subfield of natural language processing that focuses on
categorizing text into three primary sentiments: positive, negative, and neutral. With the …

Sentiment analysis, a specialization of natural language processing (NLP), has witnessed
significant progress since its emergence in the late 1990s, owing to the swift advances in …

Sentiment analysis, commonly known as “opinion mining,” aims to identify sentiment
polarities in opinion texts. Recent years have seen a significant increase in the acceptance …

Ensemble multifeatured deep learning methodology has emerged as a powerful approach
to overcome the limitations of single deep learning models in terms of generalization …

The Internet is a crucial way to share information in both personal and professional areas.
Sentiment analysis attracts great interest in marketing, research, and business today. The …

Online medical services have become increasingly popular, and patient feedback can
significantly influence other patients' medical decision-making. This study utilizes a double …

As global digitization continues to grow, technology becomes more affordable and easier to
use, and social media platforms thrive, becoming the new means of spreading information …

Sentiment analysis of customer feedback is a pivotal component of Natural Language
Processing (NLP), enabling businesses to gauge consumer emotions towards their products …

In today's modern society, social media has seamlessly integrated into our daily routines,
providing a platform for individuals to express their opinions and emotions openly on the …

Recently, with the significant rise of drones, reinforcing and securing aerial security and
privacy has become an urgent task. Their malicious use takes benefit from the malevolent …