AI Model Achieves 75% Accuracy in Detecting Sarcasm Using TV Show Data

Researchers from the University of Groningen have developed a neural network trained on multimodal cues from sitcoms to identify sarcasm.

The AI model was trained using scenes from 'Friends' and 'The Big Bang Theory.'
Researchers utilized the Multimodal Sarcasm Detection Dataset (MUStARD) for training.
The model integrates text, audio, and emotional cues for sarcasm detection.
It achieves approximately 75% accuracy in identifying sarcasm in unlabelled data.
Potential applications include improving communication for AI assistants and identifying negative tones in language.