Human Opinion

Human opinion, a multifaceted and inherently subjective phenomenon, is a central focus of current research across diverse fields, aiming to understand its formation, expression, and impact. Studies utilize various machine learning models, including large language models (LLMs) and ensemble methods like bagging, to analyze opinionated text and speech data from diverse sources such as social media, news articles, and user reviews, often incorporating techniques like sentiment analysis and aspect-based sentiment analysis. This research is significant for improving AI systems' ability to understand and respond to human perspectives, with applications ranging from enhancing online interactions and mitigating misinformation to improving decision-making processes in areas like finance and public policy.