Natural Language Processing for Affective, Psychological, and Content Analysis
Akshi Kumar · 2024
This chapter investigates NLP's role in analyzing affective and psychological aspects of language, focusing on sentiment analysis, emotion recognition, and psychometric NLP. It also delves into specific content analysis tasks like sarcasm detection, humor recognition, and identifying distress indicators such as depression and anxiety. These applications highlight the capability of NLP to interpret human emotions and psychological states from textual data.