Improving user satisfaction by analyzing many user reviews found on e-commerce platforms
is becoming increasingly significant in this modern world. However, accurately predicting …

Sentiment analysis is crucial in understanding and analyzing public opinions, feedback, and
social media data. In this study, we propose a modified Bayesian Boosting algorithm with …

Sentiment Analysis [SA] is a method that is used to detect the state of some information or
text. It can be applied to tasks such as text classification and summarization, and various …

Numerous studies have been conducted to meet the growing need for analytic tools capable
of processing increasing amounts of textual data available online, and sentiment analysis …

Many investigations have performed sentiment analysis to gauge public opinions in various
languages, including English, French, Chinese, and others. The most spoken language in …

Multimodal sentiment analysis, an increasingly vital task in the realms of natural language
processing and machine learning, addresses the nuanced understanding of emotions and …

This paper comprehensively examines Large Language Models (LLMs) in sentiment
analysis, specifically focusing on financial markets and exploring the correlation between …

Sentiment analysis (SA), and emotion detection and recognition from text (EDRT) are recent
areas of study that are closely related to each other. Sentiment analysis strives to identify …

Urdu, characterized by its intricate morphological structure and linguistic nuances, presents
distinct challenges in computational sentiment analysis. Addressing these, we introduce” …

With the continuous development of social networks, Weibo has become an essential
platform for people to share their opinions and feelings in daily life. Analysis of users' …