Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and
social trends, underpinning applications ranging from market research to political analysis …

Despite the success of dichotomous sentiment analysis, it does not encompass the various
emotional colors of users in reality, which can be more plentiful than a mere positive or …

In this paper, we propose o novel method that leverages a Mixture of Transformers (MoT)
based on the language performance of each model. We employ simple, yet effective …

Neurological disorders represent the primary cause of disability and the secondary cause of
mortality globally. The incidence and prevalence of the most notable neurological disorders …

Sentiment analysis utilizes Natural Language Processing (NLP) techniques to extract
opinions from text, which is critical for businesses looking to refine strategies and better …

This study developed a model that predicts fake news sharing behaviour on social media
using the technology acceptance model (TAM) and flow theory. We collected survey …

Aspect-based sentiment analysis (ABSA), which aims to extract aspects and corresponding
opinions from sentences and determine aspect sentiment polarity, has been widely studied …

This paper introduces our methodology for addressing the three EXIST2023 tasks focused
on Sexism Identification in Social Networks. Our proposed solution leverages advanced …

Sentiment analysis is a pivotal tool in understanding public opinion, consumer behavior, and
social trends, underpinning applications ranging from market research to political analysis …

Over the last decade, scholars have paid much attention to sentiment analysis, the automatic
extraction of statements is either favourable or adverse. In addition, the number of internet …