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 …

The rapid growth of e-commerce has significantly increased the demand for advanced
techniques to address specific tasks in the e-commerce field. In this paper, we present a …

Due to the rapid development of technology, social media has become more and more
common in human daily life. Social media is a platform for people to express their feelings …

The rapid development of mobile technologies has made social media a vital platform for
people to express their feelings and opinions. Understanding the public opinions can be …

This paper proposes a novel hybrid model for sentiment analysis. The model leverages the
strengths of both the Transformer model, represented by the Robustly Optimized BERT …

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 …

Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …

Sentiment analysis is the task of automatically identifying the sentiment expressed in text. It
has become increasingly important in many applications such as social media monitoring …

This study introduces a comprehensive machine learning system to enhance the accuracy of
hotel reservation cancellation forecasts. By leveraging a diverse dataset encompassing …

Enormous amounts of data are generated in the form of feedback or comments from online
platforms such as social media, e-commerce, education, and programming. This feedback …