INTimacy Analysis

Text intimacy analysis aims to computationally assess the level of closeness or familiarity expressed in text, offering insights into human communication and social dynamics. Current research heavily utilizes multilingual transformer models, often employing ensembles and data augmentation techniques like translation and synthetic data generation to improve performance across diverse languages. This field is significant for advancing natural language processing capabilities, particularly in understanding nuanced social interactions and potentially informing the development of more empathetic and context-aware AI systems.