What makes us feel good? A data-driven investigation of positive emotion experience.

What does it mean to feel good? Is our experience of gazing in awe at a majestic mountain fundamentally different than erupting with triumph when our favorite team wins the championship? Here, we use a semantic space approach to test which positive emotional experiences are distinct from each other based on in-depth personal narratives of experiences involving 22 positive emotions ( = 165; 3,592 emotional events). A bottom-up computational analysis was applied to the transcribed text, with unsupervised clustering employed to maximize internal granular consistency (i.e.