Consensus Score

Consensus scoring aims to aggregate multiple individual assessments into a single, representative score, resolving discrepancies and improving reliability. Current research focuses on developing algorithms and models, including ensemble methods and deep learning architectures, to effectively combine diverse opinions or labels, particularly in applications like image captioning, sentiment analysis, and sleep scoring. This approach enhances the objectivity and robustness of automated systems by leveraging the collective wisdom of multiple sources, leading to more accurate and reliable results across various domains.