Personality Type

Personality research is increasingly leveraging computational methods to analyze and predict personality traits, primarily focusing on the "Big Five" model. Current research employs various machine learning techniques, including large language models (LLMs), neural networks (like RoBERTa and BERT), and clustering algorithms (like K-modes), to analyze diverse data sources such as text, speech, and facial expressions. These advancements enable more accurate and continuous personality assessments, with implications for fields like mental health diagnosis, human resources, and marketing through improved candidate screening and personalized interventions.