Public Sentiment

Public sentiment analysis focuses on understanding and quantifying the emotional tone and opinions expressed by the public, often leveraging social media data as a primary source. Current research heavily utilizes natural language processing (NLP) techniques, including large language models (LLMs) like BERT and transformer architectures, along with deep learning models such as LSTMs and hybrid approaches, to analyze textual data and predict sentiment trends. This field is crucial for informing policy decisions, crisis management, market forecasting, and understanding public responses to events like pandemics or political campaigns, offering valuable insights across diverse sectors.