Emotion Scores are specific numerical outputs provided by the Emotion Analysis module of APIs like IBM Watson NLU. These scores quantify the intensity of specific emotions detected in the text.
The emotions measured include sadness, joy, fear, disgust, and anger. The resulting numerical data (e.g., sadness score, joy score) is then used to calculate custom classification fields in visualization tools like Looker Studio, such as the “Category Label (Emotion)” which categorizes the emotion based on score thresholds.