Vaccine Related

Research on vaccine-related topics heavily utilizes natural language processing (NLP) to analyze vast amounts of textual data from diverse sources, including social media and scientific publications, with the primary objective of understanding public sentiment, identifying misinformation, and extracting crucial information like adverse events. Current research employs various machine learning models, such as BERT, GPT-3.5, and other transformer-based architectures, along with ensemble methods and techniques to address class imbalance, to improve accuracy and efficiency in tasks like sentiment analysis, entity recognition, and narrative classification. These advancements have significant implications for public health surveillance, vaccine safety monitoring, and the development of targeted communication strategies to combat vaccine hesitancy and improve vaccination uptake.