An "Analysis of Feeling" typically refers to the systematic study of human emotions, often through the lens of or Emotion Detection in data science . While sentiment analysis focuses on the broad polarity of text (positive, negative, or neutral), emotion analysis delves deeper into specific states like joy, fear, anger, or sadness. Core Approaches to Analyzing Feeling
In the digital age, "feeling analysis" is often performed by AI using Natural Language Processing (NLP) to process large datasets like social media or customer reviews: An Analysis of Feeling
: These represent emotions in a geometric space, often using two primary axes: Valence : How positive or negative a feeling is. An "Analysis of Feeling" typically refers to the
: Typically lists six basic emotions: anger, disgust, fear, happiness, sadness, and surprise. : Typically lists six basic emotions: anger, disgust,
Researchers and psychologists use several established models to categorize and measure feelings:
: This identifies a set of "basic" emotions.
: Arranges 8 primary emotions (and their opposites) on a color-coded wheel to show how they blend. Computational Techniques