Sentiment analysis (SA) is a rapidly expanding research field, making it difficult to keep up
with all of its activities. It aims to examine people's feelings about events and individuals as …

In this study, we compared the performance of Random Forest Classifier and Decision Tree
using classification evaluation methods. The results showed that Random Forest Classifier …

This paper outlines a strategy for utilizing hybrid clouds to enhance data storage and
security in e-commerce applications. Hybrid cloud deployments extend the security …

This research paper explores the possibilities of using the Logical Regression Framework
as a means of controlling the scalability and mobility of cloud computing servers. The aim of …

Cloud computing has revolutionized the way people use technology, enabling a variety of
virtual services and applications in the corporate world. The improved cost-efficiency and …

This research describes an opinion-based analysis for stressed adults using a sentiment
mining model. The sentiment mining model uses Machine Learning (ML) and Natural …

Generative Artificial Intelligence (AI) has increasingly been used to enhance threat
intelligence and cyber security measures for organizations. Generative AI is a form of AI that …

In an increasingly competitive, globalized world, educational institutions must strategically
offer courses that align with the skill-acquisition needs of their target audience. As such, the …

Sentiment analysis is crucial for businesses to understand customer reviews and assess
sentiment polarity. A hybrid technique combining VADER and Multinomial Logistic …

This research presents a comparative analysis of sentiment analysis techniques applied to
user comments on YouTube, with a specific focus on TED talks. The proliferation of social …