The user intelligence feature analyzes the behavior of your users when interacting with your language models. It meticulously tracks and assesses every aspect of the user experience, providing valuable insights into user behaviors.

• Topics
Themes that are being discussed or inquired about by the users.‍

• User intentsIdentifies the underlying goals or objectives that users aim to achieve through their interactions with the model.

• SentimentAnalyzes the sentiment behind user communications to ascertain whether their feelings are positive, negative, or neutral.

• User emotions
Advanced emotional analysis: Nebuly detects and identifies 27 distinct emotional states in LLM interactions, ranging from Satisfaction and Excitement to Frustration and Boredom.