Emotion detection from text data using machine learning for human behavior analysis
Muskan Garg1 and Chandni Saxena2, 1Mayo Clinic, Rochester, MN, United States, 2The Chinese University of Hong Kong, Ma Liu Shui, Hong Kong
Abstract
With a surge in analyzing the emotional traits of a person through their social activities, AI models for natural language processing-centered emotion detection have attracted many academic researchers and practitioners. Beyond positive and negative sentiments, emotions exhibit very personal information about one’s state of mind, providing an opportunity to understand human perceptions such as beliefs, morals, and stances. Emotions in text are indicators of their mental state, discovered through their writing ...
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