---
license: mit
widget:
- text: With tears of joy streaming down her cheeks, she embraced her long-lost brother after years of separation. 
  example_title: Joy
- text: As the orchestra played the final note, the audience erupted into thunderous applause, filling the concert hall with joy.  
  example_title: Joy
- text: The old man sat alone on the park bench, reminiscing about the love he had lost, his eyes filled with sadness.
  example_title: Sadness
- text: The news of her best friend moving to a distant country left her feeling a profound sadness and emptiness.  
  example_title: Sadness
- text: The scientific research paper discussed complex concepts that were beyond the scope of a laymans understanding. 
  example_title: Neutral
- text: The documentary provided an objective view of the historical events, presenting facts without any bias. 
  example_title: Neutral
- text: He clenched his fists tightly, trying to control the surge of anger when he heard the offensive remarks. 
  example_title: Anger
- text: The unfair treatment at work ignited a simmering anger within him, leading him to consider confronting the management.  
  example_title: Anger
- text: As the magician pulled a rabbit out of an empty hat, the children gasped in amazement and surprise. 
  example_title: Surprise
- text: He opened the box to find a rare and valuable antique inside, leaving him speechless with surprise.  
  example_title: Surprise
- text: The moldy and rotting food in the refrigerator evoked a sense of disgust, leading her to clean it immediately.  
  example_title: Disgust
- text: The movie's graphic scenes of violence and gore left many viewers feeling a sense of disgust and unease. 
  example_title: Disgust
- text: As the storm raged outside, the little child clung to their parents, seeking comfort from the fear of thunder. 
  example_title: Fear
- text: The horror movie was so terrifying that some viewers had to cover their eyes in fear, unable to bear the suspense.  
  example_title: Fear
language:
- en
metrics:
- accuracy
pipeline_tag: text-classification
---