Psycholinguistic Feature

Psycholinguistic features, encompassing linguistic patterns and emotional cues within text, are increasingly used to analyze human language and behavior. Current research focuses on leveraging these features, often in conjunction with transformer models like BERT and BiLSTMs, to improve applications such as emotion detection, personality prediction, and even cybersecurity threat assessment. This interdisciplinary field bridges natural language processing and psychology, offering valuable insights into human communication and enabling more accurate and robust computational models of language understanding. The resulting advancements have implications for various fields, including mental health, marketing, and security.